In [4]:
import numpy as np # library to handle data in a vectorized manner

import pandas as pd # library for data analysis
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)

import json # library to handle JSON files

!pip install geopy
from geopy.geocoders import Nominatim # convert an address into latitude and longitude values

import requests # library to handle requests
from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe

# Visualization modules
import matplotlib.cm as cm
import matplotlib.colors as colors

# import k-means from clustering stage
from sklearn.cluster import KMeans

!pip install folium
import folium # map rendering library

print('Libraries imported.')
Requirement already satisfied: geopy in c:\users\welcome\anaconda3\lib\site-packages (1.20.0)
Requirement already satisfied: geographiclib<2,>=1.49 in c:\users\welcome\anaconda3\lib\site-packages (from geopy) (1.49)
Requirement already satisfied: folium in c:\users\welcome\anaconda3\lib\site-packages (0.10.0)
Requirement already satisfied: requests in c:\users\welcome\anaconda3\lib\site-packages (from folium) (2.0.0)
Requirement already satisfied: numpy in c:\users\welcome\anaconda3\lib\site-packages (from folium) (1.16.3)
Requirement already satisfied: jinja2>=2.9 in c:\users\welcome\anaconda3\lib\site-packages (from folium) (2.10.1)
Requirement already satisfied: branca>=0.3.0 in c:\users\welcome\anaconda3\lib\site-packages (from folium) (0.3.1)
Requirement already satisfied: MarkupSafe>=0.23 in c:\users\welcome\anaconda3\lib\site-packages (from jinja2>=2.9->folium) (1.1.1)
Requirement already satisfied: six in c:\users\welcome\anaconda3\lib\site-packages (from branca>=0.3.0->folium) (1.12.0)
Libraries imported.
In [5]:
with open('new_york_data.json') as json_data:
    newyork_data = json.load(json_data)
In [6]:
newyork_data
Out[6]:
{'type': 'FeatureCollection',
 'totalFeatures': 306,
 'features': [{'type': 'Feature',
   'id': 'nyu_2451_34572.1',
   'geometry': {'type': 'Point',
    'coordinates': [-73.84720052054902, 40.89470517661]},
   'geometry_name': 'geom',
   'properties': {'name': 'Wakefield',
    'stacked': 1,
    'annoline1': 'Wakefield',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.84720052054902,
     40.89470517661,
     -73.84720052054902,
     40.89470517661]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.2',
   'geometry': {'type': 'Point',
    'coordinates': [-73.82993910812398, 40.87429419303012]},
   'geometry_name': 'geom',
   'properties': {'name': 'Co-op City',
    'stacked': 2,
    'annoline1': 'Co-op',
    'annoline2': 'City',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.82993910812398,
     40.87429419303012,
     -73.82993910812398,
     40.87429419303012]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.3',
   'geometry': {'type': 'Point',
    'coordinates': [-73.82780644716412, 40.887555677350775]},
   'geometry_name': 'geom',
   'properties': {'name': 'Eastchester',
    'stacked': 1,
    'annoline1': 'Eastchester',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.82780644716412,
     40.887555677350775,
     -73.82780644716412,
     40.887555677350775]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.4',
   'geometry': {'type': 'Point',
    'coordinates': [-73.90564259591682, 40.89543742690383]},
   'geometry_name': 'geom',
   'properties': {'name': 'Fieldston',
    'stacked': 1,
    'annoline1': 'Fieldston',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.90564259591682,
     40.89543742690383,
     -73.90564259591682,
     40.89543742690383]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.5',
   'geometry': {'type': 'Point',
    'coordinates': [-73.9125854610857, 40.890834493891305]},
   'geometry_name': 'geom',
   'properties': {'name': 'Riverdale',
    'stacked': 1,
    'annoline1': 'Riverdale',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.9125854610857,
     40.890834493891305,
     -73.9125854610857,
     40.890834493891305]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.6',
   'geometry': {'type': 'Point',
    'coordinates': [-73.90281798724604, 40.88168737120521]},
   'geometry_name': 'geom',
   'properties': {'name': 'Kingsbridge',
    'stacked': 1,
    'annoline1': 'Kingsbridge',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.90281798724604,
     40.88168737120521,
     -73.90281798724604,
     40.88168737120521]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.7',
   'geometry': {'type': 'Point',
    'coordinates': [-73.91065965862981, 40.87655077879964]},
   'geometry_name': 'geom',
   'properties': {'name': 'Marble Hill',
    'stacked': 2,
    'annoline1': 'Marble',
    'annoline2': 'Hill',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Manhattan',
    'bbox': [-73.91065965862981,
     40.87655077879964,
     -73.91065965862981,
     40.87655077879964]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.8',
   'geometry': {'type': 'Point',
    'coordinates': [-73.86731496814176, 40.89827261213805]},
   'geometry_name': 'geom',
   'properties': {'name': 'Woodlawn',
    'stacked': 1,
    'annoline1': 'Woodlawn',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.86731496814176,
     40.89827261213805,
     -73.86731496814176,
     40.89827261213805]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.9',
   'geometry': {'type': 'Point',
    'coordinates': [-73.8793907395681, 40.87722415599446]},
   'geometry_name': 'geom',
   'properties': {'name': 'Norwood',
    'stacked': 1,
    'annoline1': 'Norwood',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.8793907395681,
     40.87722415599446,
     -73.8793907395681,
     40.87722415599446]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.10',
   'geometry': {'type': 'Point',
    'coordinates': [-73.85744642974207, 40.88103887819211]},
   'geometry_name': 'geom',
   'properties': {'name': 'Williamsbridge',
    'stacked': 1,
    'annoline1': 'Williamsbridge',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.85744642974207,
     40.88103887819211,
     -73.85744642974207,
     40.88103887819211]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.11',
   'geometry': {'type': 'Point',
    'coordinates': [-73.83579759808117, 40.866858107252696]},
   'geometry_name': 'geom',
   'properties': {'name': 'Baychester',
    'stacked': 1,
    'annoline1': 'Baychester',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.83579759808117,
     40.866858107252696,
     -73.83579759808117,
     40.866858107252696]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.12',
   'geometry': {'type': 'Point',
    'coordinates': [-73.85475564017999, 40.85741349808865]},
   'geometry_name': 'geom',
   'properties': {'name': 'Pelham Parkway',
    'stacked': 1,
    'annoline1': 'Pelham Parkway',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.85475564017999,
     40.85741349808865,
     -73.85475564017999,
     40.85741349808865]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.13',
   'geometry': {'type': 'Point',
    'coordinates': [-73.78648845267413, 40.84724670491813]},
   'geometry_name': 'geom',
   'properties': {'name': 'City Island',
    'stacked': 2,
    'annoline1': 'City',
    'annoline2': 'Island',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.78648845267413,
     40.84724670491813,
     -73.78648845267413,
     40.84724670491813]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.14',
   'geometry': {'type': 'Point',
    'coordinates': [-73.8855121841913, 40.870185164975325]},
   'geometry_name': 'geom',
   'properties': {'name': 'Bedford Park',
    'stacked': 2,
    'annoline1': 'Bedford',
    'annoline2': 'Park',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.8855121841913,
     40.870185164975325,
     -73.8855121841913,
     40.870185164975325]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.15',
   'geometry': {'type': 'Point',
    'coordinates': [-73.9104159619131, 40.85572707719664]},
   'geometry_name': 'geom',
   'properties': {'name': 'University Heights',
    'stacked': 2,
    'annoline1': 'University',
    'annoline2': 'Heights',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.9104159619131,
     40.85572707719664,
     -73.9104159619131,
     40.85572707719664]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.16',
   'geometry': {'type': 'Point',
    'coordinates': [-73.91967159119565, 40.84789792606271]},
   'geometry_name': 'geom',
   'properties': {'name': 'Morris Heights',
    'stacked': 2,
    'annoline1': 'Morris',
    'annoline2': 'Heights',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.91967159119565,
     40.84789792606271,
     -73.91967159119565,
     40.84789792606271]}},
  {'type': 'Feature',
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   'geometry': {'type': 'Point',
    'coordinates': [-73.89642655981623, 40.86099679638654]},
   'geometry_name': 'geom',
   'properties': {'name': 'Fordham',
    'stacked': 1,
    'annoline1': 'Fordham',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.89642655981623,
     40.86099679638654,
     -73.89642655981623,
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  {'type': 'Feature',
   'id': 'nyu_2451_34572.18',
   'geometry': {'type': 'Point',
    'coordinates': [-73.88735617532338, 40.84269615786053]},
   'geometry_name': 'geom',
   'properties': {'name': 'East Tremont',
    'stacked': 2,
    'annoline1': 'East',
    'annoline2': 'Tremont',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.88735617532338,
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  {'type': 'Feature',
   'id': 'nyu_2451_34572.19',
   'geometry': {'type': 'Point',
    'coordinates': [-73.87774474910545, 40.83947505672653]},
   'geometry_name': 'geom',
   'properties': {'name': 'West Farms',
    'stacked': 2,
    'annoline1': 'West',
    'annoline2': 'Farms',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.87774474910545,
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  {'type': 'Feature',
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   'geometry': {'type': 'Point',
    'coordinates': [-73.9261020935813, 40.836623010706056]},
   'geometry_name': 'geom',
   'properties': {'name': 'High  Bridge',
    'stacked': 1,
    'annoline1': 'Highbridge',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.9261020935813,
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  {'type': 'Feature',
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   'geometry': {'type': 'Point',
    'coordinates': [-73.90942160757436, 40.819754370594936]},
   'geometry_name': 'geom',
   'properties': {'name': 'Melrose',
    'stacked': 1,
    'annoline1': 'Melrose',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.90942160757436,
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  {'type': 'Feature',
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   'geometry': {'type': 'Point',
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   'geometry_name': 'geom',
   'properties': {'name': 'Mott Haven',
    'stacked': 1,
    'annoline1': 'Mott Haven',
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    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
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    'annoline3': None,
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   'geometry': {'type': 'Point',
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   'geometry_name': 'geom',
   'properties': {'name': 'Longwood',
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    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
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   'geometry': {'type': 'Point',
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   'geometry_name': 'geom',
   'properties': {'name': 'Hunts Point',
    'stacked': 2,
    'annoline1': 'Hunts',
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    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
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   'geometry': {'type': 'Point',
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    'annoline1': 'Morrisania',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
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    'annoangle': 0.0,
    'borough': 'Bronx',
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   'geometry': {'type': 'Point',
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   'geometry_name': 'geom',
   'properties': {'name': 'Throgs Neck',
    'stacked': 1,
    'annoline1': 'Throgs Neck',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
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  {'type': 'Feature',
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   'geometry_name': 'geom',
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  {'type': 'Feature',
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   'geometry_name': 'geom',
   'properties': {'name': 'Parkchester',
    'stacked': 1,
    'annoline1': 'Parkchester',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
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     40.837937822267286]}},
  {'type': 'Feature',
   'id': 'nyu_2451_34572.32',
   'geometry': {'type': 'Point',
    'coordinates': [-73.84219407604444, 40.8406194964327]},
   'geometry_name': 'geom',
   'properties': {'name': 'Westchester Square',
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    'annoline1': 'Westchester',
    'annoline2': 'Square',
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.84219407604444,
     40.8406194964327,
     -73.84219407604444,
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  {'type': 'Feature',
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   'geometry': {'type': 'Point',
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   'geometry_name': 'geom',
   'properties': {'name': 'Van Nest',
    'stacked': 2,
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    'annoangle': 0.0,
    'borough': 'Bronx',
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     40.84360847124718]}},
  {'type': 'Feature',
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   'geometry': {'type': 'Point',
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   'geometry_name': 'geom',
   'properties': {'name': 'Morris Park',
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    'annoline1': 'Morris Park',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
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    'bbox': [-73.85040178030421,
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     -73.85040178030421,
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  {'type': 'Feature',
   'id': 'nyu_2451_34572.35',
   'geometry': {'type': 'Point',
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   'geometry_name': 'geom',
   'properties': {'name': 'Belmont',
    'stacked': 1,
    'annoline1': 'Belmont',
    'annoline2': None,
    'annoline3': None,
    'annoangle': 0.0,
    'borough': 'Bronx',
    'bbox': [-73.88845196134804,
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  {'type': 'Feature',
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   'geometry_name': 'geom',
   'properties': {'name': 'Spuyten Duyvil',
    'stacked': 2,
    'annoline1': 'Spuyten',
    'annoline2': 'Duyvil',
    'annoline3': None,
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     -74.08173992211962,
     40.61731079252983]}}],
 'crs': {'type': 'name', 'properties': {'name': 'urn:ogc:def:crs:EPSG::4326'}},
 'bbox': [-74.2492599487305,
  40.5033187866211,
  -73.7061614990234,
  40.9105606079102]}

The data we need from this json data file is

  1. Borough Name
  2. Neighbourhood
  3. Latitude
  4. Longitude

we will make a pandas dataframe with the 4 columns as listed above but before making the dataframe we will extract what we need.

In [7]:
newyork_df = pd.DataFrame(columns = ['Borough_name','Neighborhood','Latitude','Longitude'])
newyork_df
Out[7]:
Borough_name Neighborhood Latitude Longitude
In [8]:
newyork_data_clean = newyork_data['features']
for data in newyork_data_clean:
    
    neighborhood = data['properties']['name']
    borough = data['properties']['borough']
    location = data['geometry']['coordinates']
    longitude,latitude = location[0],location[1]
    data = {"Borough_name":borough,"Neighborhood":neighborhood,"Latitude":latitude,"Longitude":longitude}
    newyork_df = newyork_df.append(data,ignore_index=True)
    
    
In [9]:
newyork_df.head()
Out[9]:
Borough_name Neighborhood Latitude Longitude
0 Bronx Wakefield 40.894705 -73.847201
1 Bronx Co-op City 40.874294 -73.829939
2 Bronx Eastchester 40.887556 -73.827806
3 Bronx Fieldston 40.895437 -73.905643
4 Bronx Riverdale 40.890834 -73.912585
In [10]:
newyork_df['Borough_name'].value_counts()
Out[10]:
Queens           81
Brooklyn         70
Staten Island    63
Bronx            52
Manhattan        40
Name: Borough_name, dtype: int64
In [11]:
newyork_df.shape
Out[11]:
(306, 4)

The dataframe consists of Five Boroughs and 306 Neighborhoods.

Use geopy library to get the latitude and longitude values of New York City.

In [12]:
address = 'New York City, NY'

geolocator = Nominatim(user_agent="ny_explorer")
location = geolocator.geocode(address)
latitude = location.latitude
longitude = location.longitude
print('The geograpical coordinate of New York City are {}, {}.'.format(latitude, longitude))
The geograpical coordinate of New York City are 40.7127281, -74.0060152.

Create a map of New York with neighborhoods superimposed on top.

In [13]:
# create map of New York using latitude and longitude values
map_newyork = folium.Map(location=[latitude, longitude], zoom_start=10)

# add markers to map
for lat, lng, borough, neighborhood in zip(newyork_df['Latitude'], newyork_df['Longitude'], newyork_df['Borough_name'], newyork_df['Neighborhood']):
    label = '{}, {}'.format(neighborhood, borough)
    label = folium.Popup(label, parse_html=True)
    folium.CircleMarker(
        [lat, lng],
        radius=5,
        popup=label,
        color='blue',
        fill=True,
        fill_color='#3186cc',
        fill_opacity=0.7,
        parse_html=False).add_to(map_newyork)  
    
map_newyork
Out[13]:

Create map of Manhattan Borough.

In [14]:
manhattan_data = newyork_df[newyork_df['Borough_name'] == 'Manhattan'].reset_index(drop=True)

Let's get the geographical coordinates of Manhattan.

In [15]:
address = 'Manhattan, NY'

geolocator = Nominatim(user_agent="ny_explorer")
location = geolocator.geocode(address)
latitude = location.latitude
longitude = location.longitude
print('The geograpical coordinate of Manhattan are {}, {}.'.format(latitude, longitude))
The geograpical coordinate of Manhattan are 40.7900869, -73.9598295.
In [16]:
# create map of Manhattan using latitude and longitude values
map_manhattan = folium.Map(location=[latitude, longitude], zoom_start=11)

# add markers to map
for lat, lng, label in zip(manhattan_data['Latitude'], manhattan_data['Longitude'], manhattan_data['Neighborhood']):
    label = folium.Popup(label, parse_html=True)
    folium.CircleMarker(
        [lat, lng],
        radius=5,
        popup=label,
        color='blue',
        fill=True,
        fill_color='#3186cc',
        fill_opacity=0.7,
        parse_html=False).add_to(map_manhattan)  
    
map_manhattan
Out[16]:

Let's explore the first neighborhood in Manhattan Borough.

In [17]:
manhattan_data.loc[0, 'Neighborhood']
Out[17]:
'Marble Hill'

Get the neighborhood's latitude and longitude values.

In [18]:
neighborhood_latitude = manhattan_data.loc[0, 'Latitude'] # neighborhood latitude value
neighborhood_longitude = manhattan_data.loc[0, 'Longitude'] # neighborhood longitude value

neighborhood_name = manhattan_data.loc[0, 'Neighborhood'] # neighborhood name

print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, 
                                                               neighborhood_latitude, 
                                                               neighborhood_longitude))
Latitude and longitude values of Marble Hill are 40.87655077879964, -73.91065965862981.

Now, let's get the top 100 venues that are in Marble Hill within a radius of 1000 meters.

Define Foursquare Credentials and Version.

In [69]:
CLIENT_ID = 'I4D4A1JPPOZV3TKA0ZQ12JORYAAAMWRIK5D5K1THXH5LECKU' # your Foursquare ID
CLIENT_SECRET = '2MWZDT2HP0NODCSYOQHM3YDBMTJI3SUGGT3XE5GPHINMCZRC' # your Foursquare Secret
VERSION = '20190604'
In [20]:
LIMIT = 100 # limit of number of venues returned by Foursquare API
radius = 1000 # define radius
# create URL
url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(
    CLIENT_ID, 
    CLIENT_SECRET, 
    VERSION, 
    neighborhood_latitude, 
    neighborhood_longitude, 
    radius, 
    LIMIT)
url # display URL
Out[20]:
'https://api.foursquare.com/v2/venues/explore?&client_id=BI0VHR1QJSEIBDYHKBMBWWXCXNBTFZOCHFWQRQVSEYZYP3CY&client_secret=3RL3VDQV254P0IXMDNB3ARNFYIMIUQ21PQMPEK5D1JFHJBVD&v=20190604&ll=40.87655077879964,-73.91065965862981&radius=1000&limit=100'
In [21]:
results = requests.get(url).json()
results
Out[21]:
{'meta': {'code': 200, 'requestId': '5d7fc6b86001bc00384df5e6'},
 'response': {'suggestedFilters': {'header': 'Tap to show:',
   'filters': [{'name': 'Open now', 'key': 'openNow'},
    {'name': '$-$$$$', 'key': 'price'}]},
  'headerLocation': 'Marble Hill',
  'headerFullLocation': 'Marble Hill, New York',
  'headerLocationGranularity': 'neighborhood',
  'totalResults': 82,
  'suggestedBounds': {'ne': {'lat': 40.88555078779965,
    'lng': -73.89877901972629},
   'sw': {'lat': 40.86755076979963, 'lng': -73.92254029753333}},
  'groups': [{'type': 'Recommended Places',
    'name': 'recommended',
    'items': [{'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '4baf59e8f964a520a6f93be3',
       'name': 'Bikram Yoga',
       'location': {'address': '5500 Broadway',
        'crossStreet': '230th Street',
        'lat': 40.876843690797934,
        'lng': -73.90620384419528,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.876843690797934,
          'lng': -73.90620384419528}],
        'distance': 376,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['5500 Broadway (230th Street)',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d102941735',
         'name': 'Yoga Studio',
         'pluralName': 'Yoga Studios',
         'shortName': 'Yoga Studio',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/gym_yogastudio_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4baf59e8f964a520a6f93be3-0'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '4b4429abf964a52037f225e3',
       'name': "Arturo's",
       'location': {'address': '5198 Broadway',
        'crossStreet': 'at 225th St.',
        'lat': 40.87441177110231,
        'lng': -73.91027100981574,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.87441177110231,
          'lng': -73.91027100981574}],
        'distance': 240,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'New York',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['5198 Broadway (at 225th St.)',
         'New York, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d1ca941735',
         'name': 'Pizza Place',
         'pluralName': 'Pizza Places',
         'shortName': 'Pizza',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',
          'suffix': '.png'},
         'primary': True}],
       'delivery': {'id': '72548',
        'url': 'https://www.seamless.com/menu/arturos-pizza-5189-broadway-ave-new-york/72548?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=72548',
        'provider': {'name': 'seamless',
         'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/',
          'sizes': [40, 50],
          'name': '/delivery_provider_seamless_20180129.png'}}},
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4b4429abf964a52037f225e3-1'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '4b79cc46f964a520c5122fe3',
       'name': 'Tibbett Diner',
       'location': {'address': '3033 Tibbett Ave',
        'crossStreet': 'btwn 230th & 231st',
        'lat': 40.8804044222466,
        'lng': -73.90893738006402,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.8804044222466,
          'lng': -73.90893738006402}],
        'distance': 452,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['3033 Tibbett Ave (btwn 230th & 231st)',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d147941735',
         'name': 'Diner',
         'pluralName': 'Diners',
         'shortName': 'Diner',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/diner_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4b79cc46f964a520c5122fe3-2'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '4bb114c4f964a520b9783ce3',
       'name': "Sam's Pizza",
       'location': {'address': '232 W 231st St',
        'crossStreet': 'Godwin Terrace',
        'lat': 40.87943501792795,
        'lng': -73.90585879861192,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.87943501792795,
          'lng': -73.90585879861192}],
        'distance': 516,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['232 W 231st St (Godwin Terrace)',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d1ca941735',
         'name': 'Pizza Place',
         'pluralName': 'Pizza Places',
         'shortName': 'Pizza',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4bb114c4f964a520b9783ce3-3'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '55f81cd2498ee903149fcc64',
       'name': 'Starbucks',
       'location': {'address': '171 W 230th St',
        'crossStreet': 'Kimberly Pl',
        'lat': 40.87753134921497,
        'lng': -73.90558216359267,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.87753134921497,
          'lng': -73.90558216359267}],
        'distance': 441,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['171 W 230th St (Kimberly Pl)',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d1e0931735',
         'name': 'Coffee Shop',
         'pluralName': 'Coffee Shops',
         'shortName': 'Coffee Shop',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-55f81cd2498ee903149fcc64-4'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '55f751ca498eacc0307d1cfe',
       'name': 'Blink Fitness Riverdale',
       'location': {'address': '5520 Broadway',
        'crossStreet': 'at W 230th St',
        'lat': 40.87714687429521,
        'lng': -73.90583697267095,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.87714687429521,
          'lng': -73.90583697267095}],
        'distance': 411,
        'postalCode': '10463',
        'cc': 'US',
        'neighborhood': 'Kingsbridge',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['5520 Broadway (at W 230th St)',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d176941735',
         'name': 'Gym',
         'pluralName': 'Gyms',
         'shortName': 'Gym',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-55f751ca498eacc0307d1cfe-5'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '4bd8e98811dcc928f865f833',
       'name': 'El Malecon',
       'location': {'address': '5592 Broadway',
        'crossStreet': 'at W 231st St',
        'lat': 40.87933806746814,
        'lng': -73.90445707056641,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.87933806746814,
          'lng': -73.90445707056641}],
        'distance': 607,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['5592 Broadway (at W 231st St)',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d144941735',
         'name': 'Caribbean Restaurant',
         'pluralName': 'Caribbean Restaurants',
         'shortName': 'Caribbean',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/caribbean_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4bd8e98811dcc928f865f833-6'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '4d9a37d4d97ba1430a07346b',
       'name': "Loeser's Delicatessen",
       'location': {'address': '214 W 231st St',
        'lat': 40.879241887611094,
        'lng': -73.9054706858219,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.879241887611094,
          'lng': -73.9054706858219}],
        'distance': 529,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['214 W 231st St',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d1c5941735',
         'name': 'Sandwich Place',
         'pluralName': 'Sandwich Places',
         'shortName': 'Sandwiches',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/deli_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4d9a37d4d97ba1430a07346b-7'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '5217dd2811d2d06ccafb77d3',
       'name': 'Estrellita Poblana V',
       'location': {'address': '240 W 231st St',
        'lat': 40.879687039717524,
        'lng': -73.906256832975,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.879687039717524,
          'lng': -73.906256832975}],
        'distance': 509,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['240 W 231st St',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d1c1941735',
         'name': 'Mexican Restaurant',
         'pluralName': 'Mexican Restaurants',
         'shortName': 'Mexican',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/mexican_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-5217dd2811d2d06ccafb77d3-8'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '4b5357adf964a520319827e3',
       'name': "Dunkin'",
       'location': {'address': '5501 Broadway',
        'crossStreet': 'W 230th St',
        'lat': 40.87713584201589,
        'lng': -73.90666550701411,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.87713584201589,
          'lng': -73.90666550701411}],
        'distance': 342,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'Bronx',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['5501 Broadway (W 230th St)',
         'Bronx, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d148941735',
         'name': 'Donut Shop',
         'pluralName': 'Donut Shops',
         'shortName': 'Donuts',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/donuts_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4b5357adf964a520319827e3-9'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '59b17fe23b4e0043787e1a7c',
       'name': 'The Bronx Public',
       'location': {'address': '170 West 231st Street',
        'lat': 40.87837659295958,
        'lng': -73.90348117090952,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.87837659295958,
          'lng': -73.90348117090952}],
        'distance': 637,
        'postalCode': '10463',
        'cc': 'US',
        'city': 'New York',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['170 West 231st Street',
         'New York, NY 10463',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d11b941735',
         'name': 'Pub',
         'pluralName': 'Pubs',
         'shortName': 'Pub',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-59b17fe23b4e0043787e1a7c-10'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '4bce0773c564ef3b6686edf0',
       'name': 'Baker Athletic Complex',
       'location': {'address': '533 W 218th St',
        'crossStreet': 'at Broadway',
        'lat': 40.87206097197959,
        'lng': -73.91487585478518,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.87206097197959,
          'lng': -73.91487585478518}],
        'distance': 612,
        'postalCode': '10034',
        'cc': 'US',
        'state': 'New York',
        'country': 'United States',
        'formattedAddress': ['533 W 218th St (at Broadway)',
         'NY 10034',
         'United States']},
       'categories': [{'id': '4f4528bc4b90abdf24c9de85',
         'name': 'Athletics & Sports',
         'pluralName': 'Athletics & Sports',
         'shortName': 'Athletics & Sports',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/sports_outdoors_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4bce0773c564ef3b6686edf0-11'},
     {'reasons': {'count': 0,
       'items': [{'summary': 'This spot is popular',
         'type': 'general',
         'reasonName': 'globalInteractionReason'}]},
      'venue': {'id': '49caa774f964a520d1581fe3',
       'name': 'Indian Road Café',
       'location': {'address': '600 W 218th St',
        'crossStreet': 'at Indian Rd',
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        'lng': -73.91700007550557,
        'labeledLatLngs': [{'label': 'display',
          'lat': 40.869109637103996,
          'lng': -73.91700007550557}],
        'distance': 985,
        'postalCode': '10034',
        'cc': 'US',
        'city': 'New York',
        'state': 'NY',
        'country': 'United States',
        'formattedAddress': ['5009 Broadway (W 214th street)',
         'New York, NY 10034',
         'United States']},
       'categories': [{'id': '4bf58dd8d48988d123951735',
         'name': 'Smoke Shop',
         'pluralName': 'Smoke Shops',
         'shortName': 'Smoke Shop',
         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/tobacco_',
          'suffix': '.png'},
         'primary': True}],
       'photos': {'count': 0, 'groups': []}},
      'referralId': 'e-0-4e6e7c16ae60d13edd3ab99b-81'}]}]}}
In [22]:
manhattan_venues = pd.DataFrame(columns = ["Venue", "Latitude","Longitude","Address","Category"])
manhattan_venues
Out[22]:
Venue Latitude Longitude Address Category
In [23]:
venues = results['response']['groups'][0]['items']
    
nearby_venues = json_normalize(venues) # flatten JSON
In [24]:
nearby_venues.head()
Out[24]:
reasons.count reasons.items referralId venue.categories venue.delivery.id venue.delivery.provider.icon.name venue.delivery.provider.icon.prefix venue.delivery.provider.icon.sizes venue.delivery.provider.name venue.delivery.url venue.id venue.location.address venue.location.cc venue.location.city venue.location.country venue.location.crossStreet venue.location.distance venue.location.formattedAddress venue.location.labeledLatLngs venue.location.lat venue.location.lng venue.location.neighborhood venue.location.postalCode venue.location.state venue.name venue.photos.count venue.photos.groups venue.venuePage.id
0 0 [{'summary': 'This spot is popular', 'type': '... e-0-4baf59e8f964a520a6f93be3-0 [{'id': '4bf58dd8d48988d102941735', 'name': 'Y... NaN NaN NaN NaN NaN NaN 4baf59e8f964a520a6f93be3 5500 Broadway US Bronx United States 230th Street 376 [5500 Broadway (230th Street), Bronx, NY 10463... [{'label': 'display', 'lat': 40.87684369079793... 40.876844 -73.906204 NaN 10463 NY Bikram Yoga 0 [] NaN
1 0 [{'summary': 'This spot is popular', 'type': '... e-0-4b4429abf964a52037f225e3-1 [{'id': '4bf58dd8d48988d1ca941735', 'name': 'P... 72548 /delivery_provider_seamless_20180129.png https://fastly.4sqi.net/img/general/cap/ [40, 50] seamless https://www.seamless.com/menu/arturos-pizza-51... 4b4429abf964a52037f225e3 5198 Broadway US New York United States at 225th St. 240 [5198 Broadway (at 225th St.), New York, NY 10... [{'label': 'display', 'lat': 40.87441177110231... 40.874412 -73.910271 NaN 10463 NY Arturo's 0 [] NaN
2 0 [{'summary': 'This spot is popular', 'type': '... e-0-4b79cc46f964a520c5122fe3-2 [{'id': '4bf58dd8d48988d147941735', 'name': 'D... NaN NaN NaN NaN NaN NaN 4b79cc46f964a520c5122fe3 3033 Tibbett Ave US Bronx United States btwn 230th & 231st 452 [3033 Tibbett Ave (btwn 230th & 231st), Bronx,... [{'label': 'display', 'lat': 40.8804044222466,... 40.880404 -73.908937 NaN 10463 NY Tibbett Diner 0 [] NaN
3 0 [{'summary': 'This spot is popular', 'type': '... e-0-4bb114c4f964a520b9783ce3-3 [{'id': '4bf58dd8d48988d1ca941735', 'name': 'P... NaN NaN NaN NaN NaN NaN 4bb114c4f964a520b9783ce3 232 W 231st St US Bronx United States Godwin Terrace 516 [232 W 231st St (Godwin Terrace), Bronx, NY 10... [{'label': 'display', 'lat': 40.87943501792795... 40.879435 -73.905859 NaN 10463 NY Sam's Pizza 0 [] NaN
4 0 [{'summary': 'This spot is popular', 'type': '... e-0-55f81cd2498ee903149fcc64-4 [{'id': '4bf58dd8d48988d1e0931735', 'name': 'C... NaN NaN NaN NaN NaN NaN 55f81cd2498ee903149fcc64 171 W 230th St US Bronx United States Kimberly Pl 441 [171 W 230th St (Kimberly Pl), Bronx, NY 10463... [{'label': 'display', 'lat': 40.87753134921497... 40.877531 -73.905582 NaN 10463 NY Starbucks 0 [] NaN
In [25]:
venues
Out[25]:
[{'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4baf59e8f964a520a6f93be3',
   'name': 'Bikram Yoga',
   'location': {'address': '5500 Broadway',
    'crossStreet': '230th Street',
    'lat': 40.876843690797934,
    'lng': -73.90620384419528,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.876843690797934,
      'lng': -73.90620384419528}],
    'distance': 376,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['5500 Broadway (230th Street)',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d102941735',
     'name': 'Yoga Studio',
     'pluralName': 'Yoga Studios',
     'shortName': 'Yoga Studio',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/gym_yogastudio_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4baf59e8f964a520a6f93be3-0'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4b4429abf964a52037f225e3',
   'name': "Arturo's",
   'location': {'address': '5198 Broadway',
    'crossStreet': 'at 225th St.',
    'lat': 40.87441177110231,
    'lng': -73.91027100981574,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87441177110231,
      'lng': -73.91027100981574}],
    'distance': 240,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['5198 Broadway (at 225th St.)',
     'New York, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d1ca941735',
     'name': 'Pizza Place',
     'pluralName': 'Pizza Places',
     'shortName': 'Pizza',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',
      'suffix': '.png'},
     'primary': True}],
   'delivery': {'id': '72548',
    'url': 'https://www.seamless.com/menu/arturos-pizza-5189-broadway-ave-new-york/72548?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=72548',
    'provider': {'name': 'seamless',
     'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/',
      'sizes': [40, 50],
      'name': '/delivery_provider_seamless_20180129.png'}}},
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4b4429abf964a52037f225e3-1'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4b79cc46f964a520c5122fe3',
   'name': 'Tibbett Diner',
   'location': {'address': '3033 Tibbett Ave',
    'crossStreet': 'btwn 230th & 231st',
    'lat': 40.8804044222466,
    'lng': -73.90893738006402,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.8804044222466,
      'lng': -73.90893738006402}],
    'distance': 452,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['3033 Tibbett Ave (btwn 230th & 231st)',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d147941735',
     'name': 'Diner',
     'pluralName': 'Diners',
     'shortName': 'Diner',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/diner_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4b79cc46f964a520c5122fe3-2'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4bb114c4f964a520b9783ce3',
   'name': "Sam's Pizza",
   'location': {'address': '232 W 231st St',
    'crossStreet': 'Godwin Terrace',
    'lat': 40.87943501792795,
    'lng': -73.90585879861192,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87943501792795,
      'lng': -73.90585879861192}],
    'distance': 516,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['232 W 231st St (Godwin Terrace)',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d1ca941735',
     'name': 'Pizza Place',
     'pluralName': 'Pizza Places',
     'shortName': 'Pizza',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4bb114c4f964a520b9783ce3-3'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '55f81cd2498ee903149fcc64',
   'name': 'Starbucks',
   'location': {'address': '171 W 230th St',
    'crossStreet': 'Kimberly Pl',
    'lat': 40.87753134921497,
    'lng': -73.90558216359267,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87753134921497,
      'lng': -73.90558216359267}],
    'distance': 441,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['171 W 230th St (Kimberly Pl)',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d1e0931735',
     'name': 'Coffee Shop',
     'pluralName': 'Coffee Shops',
     'shortName': 'Coffee Shop',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-55f81cd2498ee903149fcc64-4'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '55f751ca498eacc0307d1cfe',
   'name': 'Blink Fitness Riverdale',
   'location': {'address': '5520 Broadway',
    'crossStreet': 'at W 230th St',
    'lat': 40.87714687429521,
    'lng': -73.90583697267095,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87714687429521,
      'lng': -73.90583697267095}],
    'distance': 411,
    'postalCode': '10463',
    'cc': 'US',
    'neighborhood': 'Kingsbridge',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['5520 Broadway (at W 230th St)',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d176941735',
     'name': 'Gym',
     'pluralName': 'Gyms',
     'shortName': 'Gym',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-55f751ca498eacc0307d1cfe-5'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4bd8e98811dcc928f865f833',
   'name': 'El Malecon',
   'location': {'address': '5592 Broadway',
    'crossStreet': 'at W 231st St',
    'lat': 40.87933806746814,
    'lng': -73.90445707056641,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87933806746814,
      'lng': -73.90445707056641}],
    'distance': 607,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['5592 Broadway (at W 231st St)',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d144941735',
     'name': 'Caribbean Restaurant',
     'pluralName': 'Caribbean Restaurants',
     'shortName': 'Caribbean',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/caribbean_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4bd8e98811dcc928f865f833-6'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4d9a37d4d97ba1430a07346b',
   'name': "Loeser's Delicatessen",
   'location': {'address': '214 W 231st St',
    'lat': 40.879241887611094,
    'lng': -73.9054706858219,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.879241887611094,
      'lng': -73.9054706858219}],
    'distance': 529,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['214 W 231st St',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d1c5941735',
     'name': 'Sandwich Place',
     'pluralName': 'Sandwich Places',
     'shortName': 'Sandwiches',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/deli_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4d9a37d4d97ba1430a07346b-7'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '5217dd2811d2d06ccafb77d3',
   'name': 'Estrellita Poblana V',
   'location': {'address': '240 W 231st St',
    'lat': 40.879687039717524,
    'lng': -73.906256832975,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.879687039717524,
      'lng': -73.906256832975}],
    'distance': 509,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['240 W 231st St',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d1c1941735',
     'name': 'Mexican Restaurant',
     'pluralName': 'Mexican Restaurants',
     'shortName': 'Mexican',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/mexican_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-5217dd2811d2d06ccafb77d3-8'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4b5357adf964a520319827e3',
   'name': "Dunkin'",
   'location': {'address': '5501 Broadway',
    'crossStreet': 'W 230th St',
    'lat': 40.87713584201589,
    'lng': -73.90666550701411,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87713584201589,
      'lng': -73.90666550701411}],
    'distance': 342,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['5501 Broadway (W 230th St)',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d148941735',
     'name': 'Donut Shop',
     'pluralName': 'Donut Shops',
     'shortName': 'Donuts',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/donuts_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4b5357adf964a520319827e3-9'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '59b17fe23b4e0043787e1a7c',
   'name': 'The Bronx Public',
   'location': {'address': '170 West 231st Street',
    'lat': 40.87837659295958,
    'lng': -73.90348117090952,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87837659295958,
      'lng': -73.90348117090952}],
    'distance': 637,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['170 West 231st Street',
     'New York, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d11b941735',
     'name': 'Pub',
     'pluralName': 'Pubs',
     'shortName': 'Pub',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-59b17fe23b4e0043787e1a7c-10'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4bce0773c564ef3b6686edf0',
   'name': 'Baker Athletic Complex',
   'location': {'address': '533 W 218th St',
    'crossStreet': 'at Broadway',
    'lat': 40.87206097197959,
    'lng': -73.91487585478518,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87206097197959,
      'lng': -73.91487585478518}],
    'distance': 612,
    'postalCode': '10034',
    'cc': 'US',
    'state': 'New York',
    'country': 'United States',
    'formattedAddress': ['533 W 218th St (at Broadway)',
     'NY 10034',
     'United States']},
   'categories': [{'id': '4f4528bc4b90abdf24c9de85',
     'name': 'Athletics & Sports',
     'pluralName': 'Athletics & Sports',
     'shortName': 'Athletics & Sports',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/sports_outdoors_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4bce0773c564ef3b6686edf0-11'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '49caa774f964a520d1581fe3',
   'name': 'Indian Road Café',
   'location': {'address': '600 W 218th St',
    'crossStreet': 'at Indian Rd',
    'lat': 40.87292174447656,
    'lng': -73.91845881138549,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87292174447656,
      'lng': -73.91845881138549}],
    'distance': 770,
    'postalCode': '10034',
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['600 W 218th St (at Indian Rd)',
     'New York, NY 10034',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d16d941735',
     'name': 'Café',
     'pluralName': 'Cafés',
     'shortName': 'Café',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/cafe_',
      'suffix': '.png'},
     'primary': True}],
   'delivery': {'id': '1104394',
    'url': 'https://www.seamless.com/menu/indian-road-cafe-600-w-218th-st-new-york/1104394?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=1104394',
    'provider': {'name': 'seamless',
     'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/',
      'sizes': [40, 50],
      'name': '/delivery_provider_seamless_20180129.png'}}},
   'photos': {'count': 0, 'groups': []},
   'venuePage': {'id': '72900166'}},
  'referralId': 'e-0-49caa774f964a520d1581fe3-12'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4af8b2c0f964a520460f22e3',
   'name': 'Garden Gourmet Market',
   'location': {'address': '5665 Broadway',
    'crossStreet': 'btwn W 233rd & W 234th St',
    'lat': 40.88135023917183,
    'lng': -73.90338943716417,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.88135023917183,
      'lng': -73.90338943716417}],
    'distance': 812,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['5665 Broadway (btwn W 233rd & W 234th St)',
     'Bronx, NY 10463',
     'United States']},
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     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4f17ba78e4b0b345511e55de',
   'name': 'Yo-Burger',
   'location': {'address': '3726 Riverdale Ave',
    'lat': 40.8724310509069,
    'lng': -73.90633855017653,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.8724310509069,
      'lng': -73.90633855017653}],
    'distance': 585,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['3726 Riverdale Ave',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d16c941735',
     'name': 'Burger Joint',
     'pluralName': 'Burger Joints',
     'shortName': 'Burgers',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/burger_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4f17ba78e4b0b345511e55de-65'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
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    'country': 'United States',
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     'name': 'Spanish Restaurant',
     'pluralName': 'Spanish Restaurants',
     'shortName': 'Spanish',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/spanish_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4e3448cd6284ea7e10f38a0f-66'},
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   'items': [{'summary': 'This spot is popular',
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    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['210 Kingsbridge road',
     'Bronx, NY 10468',
     'United States']},
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     'pluralName': 'Salons / Barbershops',
     'shortName': 'Salon / Barbershop',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/salon_barber_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4e885e318b81f8713e148ffa-67'},
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   'items': [{'summary': 'This spot is popular',
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  'venue': {'id': '4e9f29c14fc679d8a715eab8',
   'name': 'MaBSTOA Bus Depot - Kingsbridge (Bronx Division)',
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    'crossStreet': 'Broadway (US 9)',
    'lat': 40.87031648616502,
    'lng': -73.913494348526,
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    'state': 'NY',
    'country': 'United States',
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     'New York, NY',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d1fe931735',
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     'pluralName': 'Bus Stations',
     'shortName': 'Bus Station',
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      'suffix': '.png'},
     'primary': True}],
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   'items': [{'summary': 'This spot is popular',
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    'lng': -73.91853739645013,
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    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['West 218th St. and Indian Rd.',
     'New York, NY 10034',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d163941735',
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     'pluralName': 'Parks',
     'shortName': 'Park',
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      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-52dd52bb498e35b966482afb-69'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '5622ff65498ee6007d29640b',
   'name': 'Food Universe Marketplace',
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    'lat': 40.870538084478596,
    'lng': -73.91519744704213,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.870538084478596,
      'lng': -73.91519744704213}],
    'distance': 770,
    'postalCode': '10034',
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['5069 Broadway',
     'New York, NY 10034',
     'United States']},
   'categories': [{'id': '50be8ee891d4fa8dcc7199a7',
     'name': 'Market',
     'pluralName': 'Markets',
     'shortName': 'Market',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/market_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-5622ff65498ee6007d29640b-70'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '5083fe69e4b03db17714dd37',
   'name': 'Bike MS New York City - Inwood Hill Rest Stop',
   'location': {'lat': 40.87283852562406,
    'lng': -73.91930224528193,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87283852562406,
      'lng': -73.91930224528193}],
    'distance': 836,
    'postalCode': '10034',
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['New York, NY 10034', 'United States']},
   'categories': [{'id': '4bf58dd8d48988d163941735',
     'name': 'Park',
     'pluralName': 'Parks',
     'shortName': 'Park',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-5083fe69e4b03db17714dd37-71'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '57f50cbe498e3b45c7efea57',
   'name': 'mta bus stop #100705 (Independance AVE &Henry Hudson Parkway)',
   'location': {'lat': 40.880829083641686,
    'lng': -73.9189705975229,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.880829083641686,
      'lng': -73.9189705975229}],
    'distance': 846,
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['Bronx, NY', 'United States']},
   'categories': [{'id': '52f2ab2ebcbc57f1066b8b4f',
     'name': 'Bus Stop',
     'pluralName': 'Bus Stops',
     'shortName': 'Bus Stop',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/busstation_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-57f50cbe498e3b45c7efea57-72'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4c22bc3cfbe5c9b6f4769a21',
   'name': 'Arlington Avenue & West 232nd Street',
   'location': {'address': 'Arlington Ave',
    'crossStreet': 'at W 232nd St',
    'lat': 40.88401563216687,
    'lng': -73.91252232171007,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.88401563216687,
      'lng': -73.91252232171007}],
    'distance': 845,
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['Arlington Ave (at W 232nd St)',
     'Bronx, NY',
     'United States']},
   'categories': [{'id': '52f2ab2ebcbc57f1066b8b4c',
     'name': 'Intersection',
     'pluralName': 'Intersections',
     'shortName': 'Intersection',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/default_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4c22bc3cfbe5c9b6f4769a21-73'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4e2ce957b61cd010838538ef',
   'name': 'Spuyten Duyvil Creek',
   'location': {'address': 'Bakers Field',
    'crossStreet': 'W.218 St',
    'lat': 40.87362586210354,
    'lng': -73.9201633990417,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87362586210354,
      'lng': -73.9201633990417}],
    'distance': 863,
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['Bakers Field (W.218 St)',
     'New York, NY',
     'United States']},
   'categories': [{'id': '4eb1d4dd4b900d56c88a45fd',
     'name': 'River',
     'pluralName': 'Rivers',
     'shortName': 'River',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/river_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4e2ce957b61cd010838538ef-74'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4c83f3c0e602b1f7d78baa7a',
   'name': 'Waterfront DSNY',
   'location': {'lat': 40.86847530832377,
    'lng': -73.91168747355391,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.86847530832377,
      'lng': -73.91168747355391}],
    'distance': 903,
    'postalCode': '10034',
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['New York, NY 10034', 'United States']},
   'categories': [{'id': '4bf58dd8d48988d165941735',
     'name': 'Scenic Lookout',
     'pluralName': 'Scenic Lookouts',
     'shortName': 'Scenic Lookout',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/sceniclookout_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4c83f3c0e602b1f7d78baa7a-75'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '513e76fae4b05b7b6b2efd07',
   'name': 'Major General John R. Brown Triangle',
   'location': {'address': 'Sedgwick',
    'crossStreet': 'West Kingsbridge Road',
    'lat': 40.86979572756906,
    'lng': -73.90444387233786,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.86979572756906,
      'lng': -73.90444387233786}],
    'distance': 916,
    'postalCode': '110468',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['Sedgwick (West Kingsbridge Road)',
     'Bronx, NY 110468',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d163941735',
     'name': 'Park',
     'pluralName': 'Parks',
     'shortName': 'Park',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-513e76fae4b05b7b6b2efd07-76'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4bb7389d46d4a593b130c7c0',
   'name': 'Fort Tryon Cafe & Grill',
   'location': {'address': '4026 10th Ave',
    'crossStreet': 'W 215th St',
    'lat': 40.869304489744984,
    'lng': -73.91590926235688,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.869304489744984,
      'lng': -73.91590926235688}],
    'distance': 919,
    'postalCode': '10034',
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['4026 10th Ave (W 215th St)',
     'New York, NY 10034',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d14e941735',
     'name': 'American Restaurant',
     'pluralName': 'American Restaurants',
     'shortName': 'American',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/default_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4bb7389d46d4a593b130c7c0-77'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4e4c9e1318388d49816b44d8',
   'name': 'La Catrina',
   'location': {'address': '155 W Kingsbridge Rd',
    'lat': 40.86995978194631,
    'lng': -73.9039558462761,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.86995978194631,
      'lng': -73.9039558462761}],
    'distance': 925,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['155 W Kingsbridge Rd',
     'Bronx, NY 10463',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d1c1941735',
     'name': 'Mexican Restaurant',
     'pluralName': 'Mexican Restaurants',
     'shortName': 'Mexican',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/mexican_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4e4c9e1318388d49816b44d8-78'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4c4b8403f7cc1b8d0676f83f',
   'name': 'Jerome Park Reservoir',
   'location': {'lat': 40.87258362206072,
    'lng': -73.90064260006244,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87258362206072,
      'lng': -73.90064260006244}],
    'distance': 951,
    'postalCode': '10463',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['Bronx, NY 10463', 'United States']},
   'categories': [{'id': '4bf58dd8d48988d161941735',
     'name': 'Lake',
     'pluralName': 'Lakes',
     'shortName': 'Lake',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/lake_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4c4b8403f7cc1b8d0676f83f-79'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4dbf5056cda12687c8321adb',
   'name': "Washington's Walk",
   'location': {'crossStreet': '197th Street',
    'lat': 40.87255460684972,
    'lng': -73.90056259601329,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.87255460684972,
      'lng': -73.90056259601329}],
    'distance': 959,
    'postalCode': '10468',
    'cc': 'US',
    'city': 'Bronx',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['Reservoir Ave (197th Street)',
     'Bronx, NY 10468',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d163941735',
     'name': 'Park',
     'pluralName': 'Parks',
     'shortName': 'Park',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4dbf5056cda12687c8321adb-80'},
 {'reasons': {'count': 0,
   'items': [{'summary': 'This spot is popular',
     'type': 'general',
     'reasonName': 'globalInteractionReason'}]},
  'venue': {'id': '4e6e7c16ae60d13edd3ab99b',
   'name': 'QCigars',
   'location': {'address': '5009 Broadway',
    'crossStreet': 'W 214th street',
    'lat': 40.869109637103996,
    'lng': -73.91700007550557,
    'labeledLatLngs': [{'label': 'display',
      'lat': 40.869109637103996,
      'lng': -73.91700007550557}],
    'distance': 985,
    'postalCode': '10034',
    'cc': 'US',
    'city': 'New York',
    'state': 'NY',
    'country': 'United States',
    'formattedAddress': ['5009 Broadway (W 214th street)',
     'New York, NY 10034',
     'United States']},
   'categories': [{'id': '4bf58dd8d48988d123951735',
     'name': 'Smoke Shop',
     'pluralName': 'Smoke Shops',
     'shortName': 'Smoke Shop',
     'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/tobacco_',
      'suffix': '.png'},
     'primary': True}],
   'photos': {'count': 0, 'groups': []}},
  'referralId': 'e-0-4e6e7c16ae60d13edd3ab99b-81'}]

We have our information in 'Venue.name' ,'venue.categories', 'venue.location.lat', 'venue.location.lng', "venue.location.formattedAddress". We have to a function to Venue.categories to extract the Venue Category.

In [26]:
# function that extracts the category of the venue
def get_category_type(row):
    
    categories_list = row['venue.categories']
        
    if len(categories_list) == 0:
        return None
    else:
        return categories_list[0]['name']
In [27]:
# filter columns
filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']
nearby_venues =nearby_venues.loc[:, filtered_columns]

# filter the category for each row
nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)
In [28]:
nearby_venues.head()
Out[28]:
venue.name venue.categories venue.location.lat venue.location.lng
0 Bikram Yoga Yoga Studio 40.876844 -73.906204
1 Arturo's Pizza Place 40.874412 -73.910271
2 Tibbett Diner Diner 40.880404 -73.908937
3 Sam's Pizza Pizza Place 40.879435 -73.905859
4 Starbucks Coffee Shop 40.877531 -73.905582
In [29]:
print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))
82 venues were returned by Foursquare.

Similarly let's extract venues for all the neighbourhoods in Newyork City.

Let's create a function to repeat the same process to all the neighborhoods in each Borough.

In [36]:
def getNearbyVenues(borough,names, latitudes, longitudes, radius=500):
    
    venues_list=[]
    for name, lat, lng in zip(names, latitudes, longitudes):
        print(name)
            
        # create the API request URL
        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(
            CLIENT_ID, 
            CLIENT_SECRET, 
            VERSION, 
            lat, 
            lng, 
            radius, 
            LIMIT)
            
        # make the GET request
        results = requests.get(url).json()
        #print(results)
        results = results["response"]["groups"][0]["items"]
        
        # return only relevant information for each nearby venue
            
        venues_list.append([(
            borough,
            name, 
            lat, 
            lng, 
            v['venue']['name'], 
            v['venue']['location']['lat'], 
            v['venue']['location']['lng'],
            v['venue']['categories'][0]['name']
            ) for v in results])

    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])
    
    nearby_venues.columns = ['Borough','Neighborhood', 
                  'Neighborhood Latitude', 
                  'Neighborhood Longitude', 
                  'Venue', 
                  'Venue Latitude', 
                  'Venue Longitude', 
                  'Venue Category']
    return(nearby_venues)
In [31]:
boroughs = newyork_df['Borough_name'].unique().tolist()
In [32]:
boroughs
Out[32]:
['Bronx', 'Manhattan', 'Brooklyn', 'Queens', 'Staten Island']
In [38]:
Master_df = pd.DataFrame(columns = ['Borough','Neighborhood', 
                  'Neighborhood Latitude', 
                  'Neighborhood Longitude', 
                  'Venue', 
                  'Venue Latitude', 
                  'Venue Longitude', 
                  'Venue Category'])
borough = boroughs[0]
print('Finding Venues around {} '.format(borough))
borough_data = newyork_df[newyork_df['Borough_name'] == borough].reset_index(drop=True)
    #print(borough_data.head())
borough_venues = getNearbyVenues(borough,names=borough_data['Neighborhood'],
                                   latitudes=borough_data['Latitude'],
                                   longitudes=borough_data['Longitude']
                                  )
Master_df = Master_df.append(borough_venues,ignore_index = True)
    
print('Concatenated {}_venues dataframe to Master dataframe'.format(borough))
print("....................................................................")
Finding Venues around Bronx 
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-38-e0742779802c> in <module>
     12 borough_venues = getNearbyVenues(borough,names=borough_data['Neighborhood'],
     13                                    latitudes=borough_data['Latitude'],
---> 14                                    longitudes=borough_data['Longitude']
     15                                   )
     16 Master_df = Master_df.append(borough_venues,ignore_index = True)

<ipython-input-36-63da8471bdf8> in getNearbyVenues(borough, names, latitudes, longitudes, radius)
     18         results = requests.get(url).json()
     19         #print(results)
---> 20         results = results["response"]["groups"][0]["items"]
     21 
     22         # return only relevant information for each nearby venue

KeyError: 'groups'
In [34]:
borough = boroughs[1]
print('Finding Venues around {} '.format(borough))
borough_data = newyork_df[newyork_df['Borough_name'] == borough].reset_index(drop=True)
    #print(borough_data.head())
borough_venues = getNearbyVenues(borough,names=borough_data['Neighborhood'],
                                   latitudes=borough_data['Latitude'],
                                   longitudes=borough_data['Longitude']
                                  )
Master_df = Master_df.append(borough_venues,ignore_index = True)
    
print('Concatenated {}_venues dataframe to Master dataframe'.format(borough))
print("....................................................................")
Finding Venues around Manhattan 
{'meta': {'code': 200, 'requestId': '5d7fc6dab77c77002c0381f6'}, 'response': {'suggestedFilters': {'header': 'Tap to show:', 'filters': [{'name': 'Open now', 'key': 'openNow'}]}, 'headerLocation': 'Marble Hill', 'headerFullLocation': 'Marble Hill, New York', 'headerLocationGranularity': 'neighborhood', 'totalResults': 24, 'suggestedBounds': {'ne': {'lat': 40.88105078329964, 'lng': -73.90471933917806}, 'sw': {'lat': 40.87205077429964, 'lng': -73.91659997808156}}, 'groups': [{'type': 'Recommended Places', 'name': 'recommended', 'items': [{'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4b4429abf964a52037f225e3', 'name': "Arturo's", 'location': {'address': '5198 Broadway', 'crossStreet': 'at 225th St.', 'lat': 40.87441177110231, 'lng': -73.91027100981574, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87441177110231, 'lng': -73.91027100981574}], 'distance': 240, 'postalCode': '10463', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5198 Broadway (at 225th St.)', 'New York, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ca941735', 'name': 'Pizza Place', 'pluralName': 'Pizza Places', 'shortName': 'Pizza', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_', 'suffix': '.png'}, 'primary': True}], 'delivery': {'id': '72548', 'url': 'https://www.seamless.com/menu/arturos-pizza-5189-broadway-ave-new-york/72548?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=72548', 'provider': {'name': 'seamless', 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/', 'sizes': [40, 50], 'name': '/delivery_provider_seamless_20180129.png'}}}, 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4b4429abf964a52037f225e3-0'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4baf59e8f964a520a6f93be3', 'name': 'Bikram Yoga', 'location': {'address': '5500 Broadway', 'crossStreet': '230th Street', 'lat': 40.876843690797934, 'lng': -73.90620384419528, 'labeledLatLngs': [{'label': 'display', 'lat': 40.876843690797934, 'lng': -73.90620384419528}], 'distance': 376, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5500 Broadway (230th Street)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d102941735', 'name': 'Yoga Studio', 'pluralName': 'Yoga Studios', 'shortName': 'Yoga Studio', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/gym_yogastudio_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4baf59e8f964a520a6f93be3-1'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4b79cc46f964a520c5122fe3', 'name': 'Tibbett Diner', 'location': {'address': '3033 Tibbett Ave', 'crossStreet': 'btwn 230th & 231st', 'lat': 40.8804044222466, 'lng': -73.90893738006402, 'labeledLatLngs': [{'label': 'display', 'lat': 40.8804044222466, 'lng': -73.90893738006402}], 'distance': 452, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['3033 Tibbett Ave (btwn 230th & 231st)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d147941735', 'name': 'Diner', 'pluralName': 'Diners', 'shortName': 'Diner', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/diner_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4b79cc46f964a520c5122fe3-2'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '55f81cd2498ee903149fcc64', 'name': 'Starbucks', 'location': {'address': '171 W 230th St', 'crossStreet': 'Kimberly Pl', 'lat': 40.87753134921497, 'lng': -73.90558216359267, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87753134921497, 'lng': -73.90558216359267}], 'distance': 441, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['171 W 230th St (Kimberly Pl)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1e0931735', 'name': 'Coffee Shop', 'pluralName': 'Coffee Shops', 'shortName': 'Coffee Shop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-55f81cd2498ee903149fcc64-3'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4b5357adf964a520319827e3', 'name': "Dunkin'", 'location': {'address': '5501 Broadway', 'crossStreet': 'W 230th St', 'lat': 40.87713584201589, 'lng': -73.90666550701411, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87713584201589, 'lng': -73.90666550701411}], 'distance': 342, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5501 Broadway (W 230th St)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d148941735', 'name': 'Donut Shop', 'pluralName': 'Donut Shops', 'shortName': 'Donuts', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/donuts_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4b5357adf964a520319827e3-4'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '55f751ca498eacc0307d1cfe', 'name': 'Blink Fitness Riverdale', 'location': {'address': '5520 Broadway', 'crossStreet': 'at W 230th St', 'lat': 40.87714687429521, 'lng': -73.90583697267095, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87714687429521, 'lng': -73.90583697267095}], 'distance': 411, 'postalCode': '10463', 'cc': 'US', 'neighborhood': 'Kingsbridge', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5520 Broadway (at W 230th St)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d176941735', 'name': 'Gym', 'pluralName': 'Gyms', 'shortName': 'Gym', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-55f751ca498eacc0307d1cfe-5'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4a725fa1f964a520f6da1fe3', 'name': 'TCR The Club of Riverdale', 'location': {'address': '2600 Netherland Ave', 'lat': 40.8786283, 'lng': -73.9145678, 'labeledLatLngs': [{'label': 'display', 'lat': 40.8786283, 'lng': -73.9145678}], 'distance': 402, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['2600 Netherland Ave', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4e39a891bd410d7aed40cbc2', 'name': 'Tennis Stadium', 'pluralName': 'Tennis Stadiums', 'shortName': 'Tennis', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/arts_entertainment/stadium_tennis_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '40358759'}}, 'referralId': 'e-0-4a725fa1f964a520f6da1fe3-6'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '546d31ca498e561c698a0320', 'name': 'T.J. Maxx', 'location': {'lat': 40.87723198343352, 'lng': -73.90504239962168, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87723198343352, 'lng': -73.90504239962168}], 'distance': 478, 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['Bronx, NY', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1f6941735', 'name': 'Department Store', 'pluralName': 'Department Stores', 'shortName': 'Department Store', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/departmentstore_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-546d31ca498e561c698a0320-7'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4b9c9c6af964a520b27236e3', 'name': 'Land & Sea Restaurant', 'location': {'address': '5535 Broadway', 'crossStreet': '231st St', 'lat': 40.87788463309788, 'lng': -73.90587282193539, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87788463309788, 'lng': -73.90587282193539}], 'distance': 429, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5535 Broadway (231st St)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ce941735', 'name': 'Seafood Restaurant', 'pluralName': 'Seafood Restaurants', 'shortName': 'Seafood', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/seafood_', 'suffix': '.png'}, 'primary': True}], 'delivery': {'id': '277380', 'url': 'https://www.seamless.com/menu/land--sea-restaurant-5535-broadway-ave-bronx/277380?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=277380', 'provider': {'name': 'seamless', 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/', 'sizes': [40, 50], 'name': '/delivery_provider_seamless_20180129.png'}}}, 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4b9c9c6af964a520b27236e3-8'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4b9c9c43f964a520ac7236e3', 'name': 'Lot Less Closeouts', 'location': {'address': '5545 Broadway', 'crossStreet': '231st St', 'lat': 40.878270422202085, 'lng': -73.9052646742604, 'labeledLatLngs': [{'label': 'display', 'lat': 40.878270422202085, 'lng': -73.9052646742604}], 'distance': 492, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5545 Broadway (231st St)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '52dea92d3cf9994f4e043dbb', 'name': 'Discount Store', 'pluralName': 'Discount Stores', 'shortName': 'Discount Store', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/discountstore_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4b9c9c43f964a520ac7236e3-9'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4b88e053f964a5208a1132e3', 'name': 'Rite Aid', 'location': {'address': '5237 Broadway', 'crossStreet': '228th Street', 'lat': 40.875466574434704, 'lng': -73.90890629016033, 'labeledLatLngs': [{'label': 'display', 'lat': 40.875466574434704, 'lng': -73.90890629016033}], 'distance': 190, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5237 Broadway (228th Street)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d10f951735', 'name': 'Pharmacy', 'pluralName': 'Pharmacies', 'shortName': 'Pharmacy', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/pharmacy_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4b88e053f964a5208a1132e3-10'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '5631194e498e2de074de661c', 'name': 'Vitamin Shoppe', 'location': {'address': '5510 Broadway', 'lat': 40.87716, 'lng': -73.905632, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87716, 'lng': -73.905632}], 'distance': 428, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5510 Broadway', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '5744ccdfe4b0c0459246b4cd', 'name': 'Supplement Shop', 'pluralName': 'Supplement Shops', 'shortName': 'Supplement Shop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/education/lab_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-5631194e498e2de074de661c-11'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '57655be738faa66160da7527', 'name': 'Starbucks', 'location': {'address': '50 W 225th St', 'lat': 40.873754554218515, 'lng': -73.90861305343668, 'labeledLatLngs': [{'label': 'display', 'lat': 40.873754554218515, 'lng': -73.90861305343668}], 'distance': 355, 'postalCode': '10463', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['50 W 225th St', 'New York, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1e0931735', 'name': 'Coffee Shop', 'pluralName': 'Coffee Shops', 'shortName': 'Coffee Shop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-57655be738faa66160da7527-12'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4b9f030af964a520eb0f37e3', 'name': 'GameStop', 'location': {'address': '90 W 225th St Ste A-B', 'crossStreet': 'btw Broadway & Exterior St.', 'lat': 40.874266802124836, 'lng': -73.90934218062803, 'labeledLatLngs': [{'label': 'display', 'lat': 40.874266802124836, 'lng': -73.90934218062803}], 'distance': 277, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['90 W 225th St Ste A-B (btw Broadway & Exterior St.)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d10b951735', 'name': 'Video Game Store', 'pluralName': 'Video Game Stores', 'shortName': 'Video Games', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/videogames_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4b9f030af964a520eb0f37e3-13'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '56229ff8498e2abb44b6f12b', 'name': 'Five Below', 'location': {'address': '171 W 230th St', 'lat': 40.87745060873134, 'lng': -73.9051704920654, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87745060873134, 'lng': -73.9051704920654}], 'distance': 472, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['171 W 230th St', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ff941735', 'name': 'Miscellaneous Shop', 'pluralName': 'Miscellaneous Shops', 'shortName': 'Shop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/default_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-56229ff8498e2abb44b6f12b-14'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4ec68016cc21b428e1d2060a', 'name': 'TD Bank', 'location': {'address': '281 W 230th St', 'lat': 40.8794958, 'lng': -73.9092856, 'labeledLatLngs': [{'label': 'display', 'lat': 40.8794958, 'lng': -73.9092856}], 'distance': 347, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['281 W 230th St', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d10a951735', 'name': 'Bank', 'pluralName': 'Banks', 'shortName': 'Bank', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/financial_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4ec68016cc21b428e1d2060a-15'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4e4e4517bd4101d0d7a67568', 'name': 'Baskin-Robbins', 'location': {'address': '5501 Broadway', 'lat': 40.8769755336728, 'lng': -73.90675193198494, 'labeledLatLngs': [{'label': 'display', 'lat': 40.8769755336728, 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'location': {'address': '81 Spring St', 'crossStreet': 'at Crosby St', 'lat': 40.72273658211859, 'lng': -73.99795434756109, 'labeledLatLngs': [{'label': 'display', 'lat': 40.72273658211859, 'lng': -73.99795434756109}], 'distance': 383, 'postalCode': '10012', 'cc': 'US', 'neighborhood': 'SoHo', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['81 Spring St (at Crosby St)', 'New York, NY 10012', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d128951735', 'name': 'Gift Shop', 'pluralName': 'Gift Shops', 'shortName': 'Gift Shop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/giftshop_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-49dcd4b4f964a520ad5f1fe3-86'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '51033bf5e4b0f8687e44c0e7', 'name': 'The Boil', 'location': {'address': '139 Chrystie St', 'crossStreet': 'btwn Broome St & Delancey St', 'lat': 40.719725568161635, 'lng': -73.99305352157174, 'labeledLatLngs': [{'label': 'display', 'lat': 40.719725568161635, 'lng': -73.99305352157174}], 'distance': 361, 'postalCode': '10002', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['139 Chrystie St (btwn Broome St & Delancey St)', 'New York, NY 10002', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ce941735', 'name': 'Seafood Restaurant', 'pluralName': 'Seafood Restaurants', 'shortName': 'Seafood', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/seafood_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '57058379'}}, 'referralId': 'e-0-51033bf5e4b0f8687e44c0e7-87'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4cf9655334c1a09374cb390e', 'name': 'Cocoron', 'location': {'address': '16 Delancey St', 'crossStreet': 'Chrystie St', 'lat': 40.720229518846686, 'lng': -73.99296820163727, 'labeledLatLngs': [{'label': 'display', 'lat': 40.720229518846686, 'lng': -73.99296820163727}], 'distance': 379, 'postalCode': '10002', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['16 Delancey St (Chrystie St)', 'New York, NY 10002', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d111941735', 'name': 'Japanese Restaurant', 'pluralName': 'Japanese Restaurants', 'shortName': 'Japanese', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/japanese_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '59969993'}}, 'referralId': 'e-0-4cf9655334c1a09374cb390e-88'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '5bdf7a256f0aa2002c3906ae', 'name': 'canteenM Bowery', 'location': {'address': '189 Bowery', 'lat': 40.72065055844869, 'lng': -73.99383597188397, 'labeledLatLngs': [{'label': 'display', 'lat': 40.72065055844869, 'lng': -73.99383597188397}], 'distance': 327, 'postalCode': '10002', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['189 Bowery', 'New York, NY 10002', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d143941735', 'name': 'Breakfast Spot', 'pluralName': 'Breakfast Spots', 'shortName': 'Breakfast', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/breakfast_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-5bdf7a256f0aa2002c3906ae-89'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '3fd66200f964a5201fe91ee3', 'name': 'Sacred Tattoo', 'location': {'address': '424 Broadway', 'crossStreet': 'Canal St.', 'lat': 40.719682883306085, 'lng': -74.00175759058459, 'labeledLatLngs': [{'label': 'display', 'lat': 40.719682883306085, 'lng': -74.00175759058459}], 'distance': 377, 'postalCode': '10013', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['424 Broadway (Canal St.)', 'New York, NY 10013', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1de931735', 'name': 'Tattoo Parlor', 'pluralName': 'Tattoo Parlors', 'shortName': 'Tattoo', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/tattoos_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '139748428'}}, 'referralId': 'e-0-3fd66200f964a5201fe91ee3-90'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4b00a6aaf964a520454022e3', 'name': 'Proper Cloth', 'location': {'address': '495 Broadway 6th Floor', 'crossStreet': 'Broome', 'lat': 40.72211191788492, 'lng': -73.99982929229736, 'labeledLatLngs': [{'label': 'display', 'lat': 40.72211191788492, 'lng': -73.99982929229736}], 'distance': 376, 'postalCode': '10012', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['495 Broadway 6th Floor (Broome)', 'New York, NY 10012', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d106951735', 'name': "Men's Store", 'pluralName': "Men's Stores", 'shortName': "Men's Store", 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/apparel_men_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '51693911'}}, 'referralId': 'e-0-4b00a6aaf964a520454022e3-91'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4cc6222106c25481d7a4a047', 'name': 'Rubirosa Ristorante', 'location': {'address': '235 Mulberry St', 'crossStreet': 'btwn Prince & Spring St', 'lat': 40.72270625453151, 'lng': -73.99595719792266, 'labeledLatLngs': [{'label': 'display', 'lat': 40.72270625453151, 'lng': -73.99595719792266}], 'distance': 393, 'postalCode': '10012', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['235 Mulberry St (btwn Prince & Spring St)', 'New York, NY 10012', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d110941735', 'name': 'Italian Restaurant', 'pluralName': 'Italian Restaurants', 'shortName': 'Italian', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/italian_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '39039277'}}, 'referralId': 'e-0-4cc6222106c25481d7a4a047-92'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '518bb89a5019390b628c31fc', 'name': 'McNally Jackson Store: Goods For The Study', 'location': {'address': '234 Mulberry St', 'crossStreet': 'btwn Prince & Spring', 'lat': 40.722694313325015, 'lng': -73.99598697945778, 'labeledLatLngs': [{'label': 'display', 'lat': 40.722694313325015, 'lng': -73.99598697945778}], 'distance': 391, 'postalCode': '10012', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['234 Mulberry St (btwn Prince & Spring)', 'New York, NY 10012', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d121951735', 'name': 'Paper / Office Supplies Store', 'pluralName': 'Paper / Office Supplies Stores', 'shortName': 'Office Supplies', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/papergoods_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-518bb89a5019390b628c31fc-93'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '5a8b26761f74405d21697e41', 'name': 'Hit House', 'location': {'address': '2 Spring St', 'lat': 40.7210258578459, 'lng': -73.99383718121187, 'labeledLatLngs': [{'label': 'display', 'lat': 40.7210258578459, 'lng': -73.99383718121187}], 'distance': 348, 'postalCode': '10012', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['2 Spring St', 'New York, NY 10012', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d175941735', 'name': 'Gym / Fitness Center', 'pluralName': 'Gyms or Fitness Centers', 'shortName': 'Gym / Fitness', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-5a8b26761f74405d21697e41-94'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '5b4169604a1cc0002c9bdb7c', 'name': 'Grand Seoul', 'location': {'address': '85 Chrystie St', 'crossStreet': 'Hester Street And Grand Atreet', 'lat': 40.71744683908609, 'lng': -73.99425648068716, 'labeledLatLngs': [{'label': 'display', 'lat': 40.71744683908609, 'lng': -73.99425648068716}], 'distance': 331, 'postalCode': '10002', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['85 Chrystie St (Hester Street And Grand Atreet)', 'New York, NY 10002', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d113941735', 'name': 'Korean Restaurant', 'pluralName': 'Korean Restaurants', 'shortName': 'Korean', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/korean_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-5b4169604a1cc0002c9bdb7c-95'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '5ce0352c666116002cc12ea5', 'name': 'Bluestone Lane Cafe', 'location': {'address': '19 Kenmare St', 'lat': 40.720604, 'lng': -73.994399, 'labeledLatLngs': [{'label': 'display', 'lat': 40.720604, 'lng': -73.994399}], 'distance': 283, 'postalCode': '10012', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['19 Kenmare St', 'New York, NY 10012', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d16d941735', 'name': 'Café', 'pluralName': 'Cafés', 'shortName': 'Café', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/cafe_', 'suffix': '.png'}, 'primary': True}], 'delivery': {'id': '1245961', 'url': 'https://www.seamless.com/menu/bluestone-lane-19-kenmare-st-new-york/1245961?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=1245961', 'provider': {'name': 'seamless', 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/', 'sizes': [40, 50], 'name': '/delivery_provider_seamless_20180129.png'}}}, 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-5ce0352c666116002cc12ea5-96'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '3fd66200f964a52070e91ee3', 'name': 'Balthazar', 'location': {'address': '80 Spring St', 'crossStreet': 'at Crosby St', 'lat': 40.72272353497926, 'lng': -73.99816997062293, 'labeledLatLngs': [{'label': 'display', 'lat': 40.72272353497926, 'lng': -73.99816997062293}], 'distance': 385, 'postalCode': '10012', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['80 Spring St (at Crosby St)', 'New York, NY 10012', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d10c941735', 'name': 'French Restaurant', 'pluralName': 'French Restaurants', 'shortName': 'French', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/french_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '51338430'}}, 'referralId': 'e-0-3fd66200f964a52070e91ee3-97'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '49eb223ff964a520a6661fe3', 'name': 'Tai Pan Bakery 大班', 'location': {'address': '194 Canal St', 'crossStreet': 'btwn Mott & Mulberry St.', 'lat': 40.7168862755231, 'lng': -73.99803662360377, 'labeledLatLngs': [{'label': 'display', 'lat': 40.7168862755231, 'lng': -73.99803662360377}], 'distance': 278, 'postalCode': '10013', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['194 Canal St (btwn Mott & Mulberry St.)', 'New York, NY 10013', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d16a941735', 'name': 'Bakery', 'pluralName': 'Bakeries', 'shortName': 'Bakery', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/bakery_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-49eb223ff964a520a6661fe3-98'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '541468f5498e79de14888e73', 'name': 'UFC NYC - SoHo', 'location': {'address': '277 Canal St', 'crossStreet': 'at Broadway', 'lat': 40.71932383938399, 'lng': -74.00177756502949, 'labeledLatLngs': [{'label': 'display', 'lat': 40.71932383938399, 'lng': -74.00177756502949}], 'distance': 377, 'postalCode': '10013', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['277 Canal St (at Broadway)', 'New York, NY 10013', 'United States']}, 'categories': [{'id': '52f2ab2ebcbc57f1066b8b47', 'name': 'Boxing Gym', 'pluralName': 'Boxing Gyms', 'shortName': 'Boxing Gym', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-541468f5498e79de14888e73-99'}]}]}}
{'meta': {'code': 429, 'errorType': 'quota_exceeded', 'errorDetail': 'Quota exceeded', 'requestId': '5d7fc6ef6adbf5002c8ce6cc'}, 'response': {}}
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-34-6277409b993e> in <module>
      5 borough_venues = getNearbyVenues(borough,names=borough_data['Neighborhood'],
      6                                    latitudes=borough_data['Latitude'],
----> 7                                    longitudes=borough_data['Longitude']
      8                                   )
      9 Master_df = Master_df.append(borough_venues,ignore_index = True)

<ipython-input-30-b7e94aeb4336> in getNearbyVenues(borough, names, latitudes, longitudes, radius)
     18         results = requests.get(url).json()
     19         print(results)
---> 20         results = results["response"]["groups"][0]["items"]
     21 
     22         # return only relevant information for each nearby venue

KeyError: 'groups'
In [ ]:
borough = boroughs[2]
print('Finding Venues around {} '.format(borough))
borough_data = newyork_df[newyork_df['Borough_name'] == borough].reset_index(drop=True)
    #print(borough_data.head())
borough_venues = getNearbyVenues(borough,names=borough_data['Neighborhood'],
                                   latitudes=borough_data['Latitude'],
                                   longitudes=borough_data['Longitude']
                                  )
Master_df = Master_df.append(borough_venues,ignore_index = True)
    
print('Concatenated {}_venues dataframe to Master dataframe'.format(borough))
print("....................................................................")
In [ ]:
borough = boroughs[3]
print('Finding Venues around {} '.format(borough))
borough_data = newyork_df[newyork_df['Borough_name'] == borough].reset_index(drop=True)
    #print(borough_data.head())
borough_venues = getNearbyVenues(borough,names=borough_data['Neighborhood'],
                                   latitudes=borough_data['Latitude'],
                                   longitudes=borough_data['Longitude']
                                  )
Master_df = Master_df.append(borough_venues,ignore_index = True)
    
print('Concatenated {}_venues dataframe to Master dataframe'.format(borough))
print("....................................................................")
In [ ]:
borough = boroughs[4]
print('Finding Venues around {} '.format(borough))
borough_data = newyork_df[newyork_df['Borough_name'] == borough].reset_index(drop=True)
    #print(borough_data.head())
borough_venues = getNearbyVenues(borough,names=borough_data['Neighborhood'],
                                   latitudes=borough_data['Latitude'],
                                   longitudes=borough_data['Longitude']
                                  )
Master_df = Master_df.append(borough_venues,ignore_index = True)
    
print('Concatenated {}_venues dataframe to Master dataframe'.format(borough))
print("....................................................................")

Master_df consists of all neighbourboods with nearest venues,It's Name,locations and Category.

In [ ]:
Master_df.to_csv("Master.csv")
In [43]:
Master_df = pd.read_csv("Master.csv")
In [44]:
Master_df.head()
Out[44]:
Unnamed: 0 Borough Neighborhood Neighborhood Latitude Neighborhood Longitude Venue Venue Latitude Venue Longitude Venue Category
0 0 Bronx Wakefield 40.894705 -73.847201 Lollipops Gelato 40.894123 -73.845892 Dessert Shop
1 1 Bronx Wakefield 40.894705 -73.847201 Rite Aid 40.896649 -73.844846 Pharmacy
2 2 Bronx Wakefield 40.894705 -73.847201 Carvel Ice Cream 40.890487 -73.848568 Ice Cream Shop
3 3 Bronx Wakefield 40.894705 -73.847201 Cooler Runnings Jamaican Restaurant Inc 40.898276 -73.850381 Caribbean Restaurant
4 4 Bronx Wakefield 40.894705 -73.847201 Shell 40.894187 -73.845862 Gas Station
In [48]:
Master_df.columns
Out[48]:
Index(['Unnamed: 0', 'Borough', 'Neighborhood', 'Neighborhood Latitude',
       'Neighborhood Longitude', 'Venue', 'Venue Latitude', 'Venue Longitude',
       'Venue Category'],
      dtype='object')
In [49]:
Master_df.drop(columns = 'Unnamed: 0',inplace = True,axis = 1)
In [50]:
Master_df.head()
Out[50]:
Borough Neighborhood Neighborhood Latitude Neighborhood Longitude Venue Venue Latitude Venue Longitude Venue Category
0 Bronx Wakefield 40.894705 -73.847201 Lollipops Gelato 40.894123 -73.845892 Dessert Shop
1 Bronx Wakefield 40.894705 -73.847201 Rite Aid 40.896649 -73.844846 Pharmacy
2 Bronx Wakefield 40.894705 -73.847201 Carvel Ice Cream 40.890487 -73.848568 Ice Cream Shop
3 Bronx Wakefield 40.894705 -73.847201 Cooler Runnings Jamaican Restaurant Inc 40.898276 -73.850381 Caribbean Restaurant
4 Bronx Wakefield 40.894705 -73.847201 Shell 40.894187 -73.845862 Gas Station

Suppose you want to start a Car Rental Business let's see which areas are suitable.

In [52]:
car_df = Master_df[Master_df['Venue Category'].str.contains('[Cc]ar')]
In [53]:
car_df.head()
Out[53]:
Borough Neighborhood Neighborhood Latitude Neighborhood Longitude Venue Venue Latitude Venue Longitude Venue Category
3 Bronx Wakefield 40.894705 -73.847201 Cooler Runnings Jamaican Restaurant Inc 40.898276 -73.850381 Caribbean Restaurant
26 Bronx Eastchester 40.887556 -73.827806 Fish & Ting 40.885539 -73.829151 Caribbean Restaurant
32 Bronx Eastchester 40.887556 -73.827806 Golden Krust Caribbean Restaurant 40.888543 -73.831278 Caribbean Restaurant
36 Bronx Eastchester 40.887556 -73.827806 Royal Caribbean Bakery 40.888252 -73.831457 Caribbean Restaurant
64 Bronx Kingsbridge 40.881687 -73.902818 El Malecon 40.879338 -73.904457 Caribbean Restaurant
In [54]:
car_df['Venue Category'].unique()
Out[54]:
array(['Caribbean Restaurant', 'Rental Car Location', 'Daycare',
       'Child Care Service'], dtype=object)
In [55]:
rental_car = car_df[car_df['Venue Category'] == 'Rental Car Location']
In [56]:
rental_car.head()
Out[56]:
Borough Neighborhood Neighborhood Latitude Neighborhood Longitude Venue Venue Latitude Venue Longitude Venue Category
91 Bronx Kingsbridge 40.881687 -73.902818 Enterprise Rent-A-Car 40.879866 -73.903847 Rental Car Location
137 Bronx Woodlawn 40.898273 -73.867315 Enterprise Rent-A-Car 40.896091 -73.865364 Rental Car Location
515 Bronx Melrose 40.819754 -73.909422 Zipcar 155 St & 3 Ave - Bronx (MPG) 40.818924 -73.914068 Rental Car Location
826 Bronx Belmont 40.857277 -73.888452 Enterprise Rent-A-Car 40.858491 -73.884325 Rental Car Location
1011 Bronx Pelham Gardens 40.862966 -73.841612 Budget Truck Rental 40.865890 -73.837101 Rental Car Location

Let's Visualize them on a heat map.

In [63]:
from folium import plugins
m = folium.Map([40.7127281, -74.0060152], zoom_start=11)
# mark each station as a point
for index, row in rental_car.iterrows():
    folium.CircleMarker([row['Venue Latitude'], row['Venue Longitude']],
                        radius=2,
                        popup=row['Venue'],
                        fill_color="#3db7e4", # divvy color
                       ).add_to(m)
# convert to (n, 2) nd-array format for heatmap
CarArr = rental_car[['Venue Latitude', 'Venue Longitude']].as_matrix()

# plot heatmap
m.add_children(plugins.HeatMap(CarArr, radius=15))
m
C:\Users\Welcome\Anaconda3\lib\site-packages\ipykernel_launcher.py:11: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
  # This is added back by InteractiveShellApp.init_path()
C:\Users\Welcome\Anaconda3\lib\site-packages\ipykernel_launcher.py:14: FutureWarning: Method `add_children` is deprecated. Please use `add_child` instead.
  
Out[63]:

Let's figure out which Neighbourhoods has these businesses and then suggest a neighbourhood for opening a Car Rental Business.

The number of rental car businesses are 22 in entire Newyork city and Neighbourhood Stein way has the highest number of rental car shops.

Let's superimpose neighbourhoods on top of heat map.

In [67]:
for index, row in rental_car.iterrows():
    folium.Marker([row['Neighborhood Latitude'], row['Neighborhood Longitude']],
                        radius=2,
                        popup=row['Neighborhood'],
                       ).add_to(m)
m
Out[67]:

Let's explore venues around these neighborhoods and see if we can get some insights.

In [70]:
borough_data = rental_car
    #print(borough_data.head())
car_rental_venues = getNearbyVenues(borough,names=borough_data['Neighborhood'],
                                   latitudes=borough_data['Neighborhood Latitude'],
                                   longitudes=borough_data['Neighborhood Longitude']
                                  )

    
print("Found all Venues in those neighborhoods where there are car rental businesses.")
print("....................................................................")
{'meta': {'code': 200, 'requestId': '5d7ff54bf1110b002be97d8d'}, 'response': {'suggestedFilters': {'header': 'Tap to show:', 'filters': [{'name': 'Open now', 'key': 'openNow'}, {'name': '$-$$$$', 'key': 'price'}]}, 'headerLocation': 'Kingsbridge', 'headerFullLocation': 'Kingsbridge, Bronx', 'headerLocationGranularity': 'neighborhood', 'totalResults': 69, 'suggestedBounds': {'ne': {'lat': 40.88618737570521, 'lng': -73.89687720680473}, 'sw': {'lat': 40.87718736670521, 'lng': -73.90875876768737}}, 'groups': [{'type': 'Recommended Places', 'name': 'recommended', 'items': [{'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4af8b2c0f964a520460f22e3', 'name': 'Garden Gourmet Market', 'location': {'address': '5665 Broadway', 'crossStreet': 'btwn W 233rd & W 234th St', 'lat': 40.88135023917183, 'lng': -73.90338943716417, 'labeledLatLngs': [{'label': 'display', 'lat': 40.88135023917183, 'lng': -73.90338943716417}], 'distance': 61, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5665 Broadway (btwn W 233rd & W 234th St)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1f5941735', 'name': 'Gourmet Shop', 'pluralName': 'Gourmet Shops', 'shortName': 'Gourmet', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_gourmet_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4af8b2c0f964a520460f22e3-0'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '55297008498e9286460da191', 'name': 'Leche y Miel', 'location': {'address': '5761 Broadway', 'crossStreet': '236th Street', 'lat': 40.88370946311038, 'lng': -73.90160581178267, 'labeledLatLngs': [{'label': 'display', 'lat': 40.88370946311038, 'lng': -73.90160581178267}], 'distance': 247, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5761 Broadway (236th Street)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1be941735', 'name': 'Latin American Restaurant', 'pluralName': 'Latin American Restaurants', 'shortName': 'Latin American', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/latinamerican_', 'suffix': '.png'}, 'primary': True}], 'delivery': {'id': '301561', 'url': 'https://www.seamless.com/menu/leche-y-miel-restaurant-5761-broadway-bronx/301561?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=301561', 'provider': {'name': 'seamless', 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/', 'sizes': [40, 50], 'name': '/delivery_provider_seamless_20180129.png'}}}, 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-55297008498e9286460da191-1'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '58935fd798f8aa7c14662653', 'name': 'Kingsbridge Social Club', 'location': {'address': '3625 Kingsbridge Ave', 'lat': 40.88454548045115, 'lng': -73.90196378126393, 'labeledLatLngs': [{'label': 'display', 'lat': 40.88454548045115, 'lng': -73.90196378126393}], 'distance': 326, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['3625 Kingsbridge Ave', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ca941735', 'name': 'Pizza Place', 'pluralName': 'Pizza Places', 'shortName': 'Pizza', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_', 'suffix': '.png'}, 'primary': True}], 'delivery': {'id': '944260', 'url': 'https://www.seamless.com/menu/kingsbridge-social-club-3625-kingsbridge-ave-bronx/944260?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=944260', 'provider': {'name': 'seamless', 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/', 'sizes': [40, 50], 'name': '/delivery_provider_seamless_20180129.png'}}}, 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '390862740'}}, 'referralId': 'e-0-58935fd798f8aa7c14662653-2'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4bd8e98811dcc928f865f833', 'name': 'El Malecon', 'location': {'address': '5592 Broadway', 'crossStreet': 'at W 231st St', 'lat': 40.87933806746814, 'lng': -73.90445707056641, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87933806746814, 'lng': -73.90445707056641}], 'distance': 295, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5592 Broadway (at W 231st St)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d144941735', 'name': 'Caribbean Restaurant', 'pluralName': 'Caribbean Restaurants', 'shortName': 'Caribbean', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/caribbean_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4bd8e98811dcc928f865f833-3'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4bb114c4f964a520b9783ce3', 'name': "Sam's Pizza", 'location': {'address': '232 W 231st St', 'crossStreet': 'Godwin Terrace', 'lat': 40.87943501792795, 'lng': -73.90585879861192, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87943501792795, 'lng': -73.90585879861192}], 'distance': 358, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['232 W 231st St (Godwin Terrace)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ca941735', 'name': 'Pizza Place', 'pluralName': 'Pizza Places', 'shortName': 'Pizza', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4bb114c4f964a520b9783ce3-4'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '55568a71498e3524400a356e', 'name': 'Smashburger', 'location': {'address': '193 W 237th St', 'crossStreet': 'btwn Broadway & Putnam Ave W', 'lat': 40.8842208517097, 'lng': -73.90033254824955, 'labeledLatLngs': [{'label': 'display', 'lat': 40.8842208517097, 'lng': -73.90033254824955}], 'distance': 351, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['193 W 237th St (btwn Broadway & Putnam Ave W)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d16c941735', 'name': 'Burger Joint', 'pluralName': 'Burger Joints', 'shortName': 'Burgers', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/burger_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-55568a71498e3524400a356e-5'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4bdc88c92a3a0f47144ab3b6', 'name': 'Carvel Ice Cream', 'location': {'address': '5759 Broadway', 'lat': 40.883657145742866, 'lng': -73.90165452034793, 'labeledLatLngs': [{'label': 'display', 'lat': 40.883657145742866, 'lng': -73.90165452034793}], 'distance': 240, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5759 Broadway', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1c9941735', 'name': 'Ice Cream Shop', 'pluralName': 'Ice Cream Shops', 'shortName': 'Ice Cream', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/icecream_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4bdc88c92a3a0f47144ab3b6-6'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '59b17fe23b4e0043787e1a7c', 'name': 'The Bronx Public', 'location': {'address': '170 West 231st Street', 'lat': 40.87837659295958, 'lng': -73.90348117090952, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87837659295958, 'lng': -73.90348117090952}], 'distance': 372, 'postalCode': '10463', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['170 West 231st Street', 'New York, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d11b941735', 'name': 'Pub', 'pluralName': 'Pubs', 'shortName': 'Pub', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-59b17fe23b4e0043787e1a7c-7'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4acec156f964a520d3d120e3', 'name': 'Bronx Alehouse', 'location': {'address': '216 W 238th St', 'crossStreet': 'btwn Review Pl & Putnam Ave W', 'lat': 40.88474887262718, 'lng': -73.89969883486997, 'labeledLatLngs': [{'label': 'display', 'lat': 40.88474887262718, 'lng': -73.89969883486997}], 'distance': 430, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['216 W 238th St (btwn Review Pl & Putnam Ave W)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '56aa371ce4b08b9a8d57356c', 'name': 'Beer Bar', 'pluralName': 'Beer Bars', 'shortName': 'Beer Bar', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '63947584'}}, 'referralId': 'e-0-4acec156f964a520d3d120e3-8'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4d9a37d4d97ba1430a07346b', 'name': "Loeser's Delicatessen", 'location': {'address': '214 W 231st St', 'lat': 40.879241887611094, 'lng': -73.9054706858219, 'labeledLatLngs': [{'label': 'display', 'lat': 40.879241887611094, 'lng': -73.9054706858219}], 'distance': 352, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['214 W 231st St', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1c5941735', 'name': 'Sandwich Place', 'pluralName': 'Sandwich Places', 'shortName': 'Sandwiches', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/deli_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4d9a37d4d97ba1430a07346b-9'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4ca785a597c8a1cd7e577ba5', 'name': 'El Economico Restaurant', 'location': {'address': '5589 Broadway', 'lat': 40.87933018698782, 'lng': -73.90459710835415, 'labeledLatLngs': [{'label': 'display', 'lat': 40.87933018698782, 'lng': -73.90459710835415}], 'distance': 302, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5589 Broadway', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d150941735', 'name': 'Spanish Restaurant', 'pluralName': 'Spanish Restaurants', 'shortName': 'Spanish', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/spanish_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4ca785a597c8a1cd7e577ba5-10'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '56310a2c498e97016b257476', 'name': "BJ's  Wholesale Club", 'location': {'address': '184 W 237th St', 'lat': 40.88410355664641, 'lng': -73.90026731218994, 'labeledLatLngs': [{'label': 'display', 'lat': 40.88410355664641, 'lng': -73.90026731218994}], 'distance': 344, 'postalCode': '10463', 'cc': 'US', 'neighborhood': 'Kingsbridge', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['184 W 237th St', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '52e816a6bcbc57f1066b7a54', 'name': 'Warehouse Store', 'pluralName': 'Warehouse Stores', 'shortName': 'Warehouse Store', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/default_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-56310a2c498e97016b257476-11'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4ce81d330f196dcb5d2b43ae', 'name': 'Picante Picante Mexican Restaurant', 'location': {'address': '156 W 231st St', 'lat': 40.878252, 'lng': -73.902936, 'labeledLatLngs': [{'label': 'display', 'lat': 40.878252, 'lng': -73.902936}], 'distance': 382, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['156 W 231st St', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1c1941735', 'name': 'Mexican Restaurant', 'pluralName': 'Mexican Restaurants', 'shortName': 'Mexican', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/mexican_', 'suffix': '.png'}, 'primary': True}], 'delivery': {'id': '312525', 'url': 'https://www.seamless.com/menu/picante-picante-156-w-231st-st-bronx/312525?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=312525', 'provider': {'name': 'seamless', 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/', 'sizes': [40, 50], 'name': '/delivery_provider_seamless_20180129.png'}}}, 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '331866367'}}, 'referralId': 'e-0-4ce81d330f196dcb5d2b43ae-12'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '5217dd2811d2d06ccafb77d3', 'name': 'Estrellita Poblana V', 'location': {'address': '240 W 231st St', 'lat': 40.879687039717524, 'lng': -73.906256832975, 'labeledLatLngs': [{'label': 'display', 'lat': 40.879687039717524, 'lng': -73.906256832975}], 'distance': 365, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['240 W 231st St', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1c1941735', 'name': 'Mexican Restaurant', 'pluralName': 'Mexican Restaurants', 'shortName': 'Mexican', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/mexican_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-5217dd2811d2d06ccafb77d3-13'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '558b30d0498e2fb129a2a42b', 'name': 'Tilila', 'location': {'address': '3648 Bailey Avenue', 'crossStreet': 'Off 238th Street', 'lat': 40.88387242577101, 'lng': -73.89820853750416, 'labeledLatLngs': [{'label': 'display', 'lat': 40.88387242577101, 'lng': -73.89820853750416}], 'distance': 457, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['3648 Bailey Avenue (Off 238th Street)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d116941735', 'name': 'Bar', 'pluralName': 'Bars', 'shortName': 'Bar', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-558b30d0498e2fb129a2a42b-14'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '5660c06b498e4003dba169a5', 'name': 'Mon Amour Coffee & Wine', 'location': {'address': '234 W 238th St', 'crossStreet': 'nr Broadway', 'lat': 40.88500863418534, 'lng': -73.90033222698838, 'labeledLatLngs': [{'label': 'display', 'lat': 40.88500863418534, 'lng': -73.90033222698838}], 'distance': 424, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['234 W 238th St (nr Broadway)', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1e0931735', 'name': 'Coffee Shop', 'pluralName': 'Coffee Shops', 'shortName': 'Coffee Shop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-5660c06b498e4003dba169a5-15'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '50ea5611e4b044bdeead3ade', 'name': "Q'Kachapa", 'location': {'address': '5625 Broadway', 'lat': 40.880005888670006, 'lng': -73.9041570896363, 'labeledLatLngs': [{'label': 'display', 'lat': 40.880005888670006, 'lng': -73.9041570896363}], 'distance': 218, 'postalCode': '10463', 'cc': 'US', 'city': 'Bronx', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['5625 Broadway', 'Bronx, NY 10463', 'United States']}, 'categories': [{'id': 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'venue': {'id': '4c1010373ce120a1127a071c', 'name': 'MTA Bus - Bay St & Victory Bl (S46/S48/S51/S61/S62/S66/S74/S76/S78/S81/S84/S86/S91/S92/S96)', 'location': {'address': 'Bay St', 'crossStreet': 'at Victory Blvd', 'lat': 40.63735189825941, 'lng': -74.0762269567312, 'labeledLatLngs': [{'label': 'display', 'lat': 40.63735189825941, 'lng': -74.0762269567312}], 'distance': 365, 'postalCode': '10301', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['Bay St (at Victory Blvd)', 'Staten Island, NY 10301', 'United States']}, 'categories': [{'id': '52f2ab2ebcbc57f1066b8b4f', 'name': 'Bus Stop', 'pluralName': 'Bus Stops', 'shortName': 'Bus Stop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/busstation_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4c1010373ce120a1127a071c-22'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4bda145363c5c9b6669b2268', 'name': 'Top tomato super store', 'location': {'address': 'Bay street', 'lat': 40.637481958192524, 'lng': -74.07611796628325, 'labeledLatLngs': [{'label': 'display', 'lat': 40.637481958192524, 'lng': -74.07611796628325}], 'distance': 375, 'postalCode': '10301', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['Bay street', 'Staten Island, NY 10301', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d118951735', 'name': 'Grocery Store', 'pluralName': 'Grocery Stores', 'shortName': 'Grocery Store', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_grocery_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4bda145363c5c9b6669b2268-23'}]}]}}
{'meta': {'code': 200, 'requestId': '5d7ff55af9dbde0038d30755'}, 'response': {'suggestedFilters': {'header': 'Tap to show:', 'filters': [{'name': 'Open now', 'key': 'openNow'}]}, 'headerLocation': 'Current map view', 'headerFullLocation': 'Current map view', 'headerLocationGranularity': 'unknown', 'totalResults': 13, 'suggestedBounds': {'ne': {'lat': 40.52919938061813, 'lng': -74.21392204199819}, 'sw': {'lat': 40.520199371618126, 'lng': -74.22574009033735}}, 'groups': [{'type': 'Recommended Places', 'name': 'recommended', 'items': [{'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4bc65ec3b387d13adcd4c1e8', 'name': "Ralph's Ices", 'location': {'address': '6272 Amboy Rd', 'lat': 40.52396579948754, 'lng': -74.21501488824632, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52396579948754, 'lng': -74.21501488824632}], 'distance': 415, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6272 Amboy Rd', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1c9941735', 'name': 'Ice Cream Shop', 'pluralName': 'Ice Cream Shops', 'shortName': 'Ice Cream', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/icecream_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4bc65ec3b387d13adcd4c1e8-0'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4c0bdf0effb8c9b66edf6d61', 'name': 'Il Forno', 'location': {'address': '6382 Amboy Rd', 'lat': 40.52222147622361, 'lng': -74.2166513448245, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52222147622361, 'lng': -74.2166513448245}], 'distance': 385, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6382 Amboy Rd', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ca941735', 'name': 'Pizza Place', 'pluralName': 'Pizza Places', 'shortName': 'Pizza', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_', 'suffix': '.png'}, 'primary': True}], 'delivery': {'id': '311114', 'url': 'https://www.seamless.com/menu/il-forno-pizzeria-6382-amboy-rd-staten-island/311114?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=311114', 'provider': {'name': 'seamless', 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/', 'sizes': [40, 50], 'name': '/delivery_provider_seamless_20180129.png'}}}, 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4c0bdf0effb8c9b66edf6d61-1'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4e3ead59b0fb875af8721eb2', 'name': 'Dollar Tree', 'location': {'address': '6410 Amboy Rd.', 'lat': 40.521540984414784, 'lng': -74.215762993857, 'labeledLatLngs': [{'label': 'display', 'lat': 40.521540984414784, 'lng': -74.215762993857}], 'distance': 492, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6410 Amboy Rd.', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '52dea92d3cf9994f4e043dbb', 'name': 'Discount Store', 'pluralName': 'Discount Stores', 'shortName': 'Discount Store', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/discountstore_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4e3ead59b0fb875af8721eb2-2'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4bb759121344b713e0999e04', 'name': 'Enterprise Rent-A-Car', 'location': {'address': '6381 Amboy Rd', 'lat': 40.52223057773637, 'lng': -74.21699099619212, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52223057773637, 'lng': -74.21699099619212}], 'distance': 365, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6381 Amboy Rd', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ef941735', 'name': 'Rental Car Location', 'pluralName': 'Rental Car Locations', 'shortName': 'Rental Car', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/airport_rentalcar_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4bb759121344b713e0999e04-3'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4bb120b3f964a520a97c3ce3', 'name': "Wendy's", 'location': {'address': '6420 Amboy Rd', 'lat': 40.5211984, 'lng': -74.2167862, 'labeledLatLngs': [{'label': 'display', 'lat': 40.5211984, 'lng': -74.2167862}], 'distance': 467, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6420 Amboy Rd', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d16e941735', 'name': 'Fast Food Restaurant', 'pluralName': 'Fast Food Restaurants', 'shortName': 'Fast Food', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/fastfood_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4bb120b3f964a520a97c3ce3-4'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4ccc5a25ba0a5481f4bc3c59', 'name': 'Chase Bank', 'location': {'address': '6390 Amboy Rd', 'lat': 40.522261, 'lng': -74.215506, 'labeledLatLngs': [{'label': 'display', 'lat': 40.522261, 'lng': -74.215506}], 'distance': 455, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6390 Amboy Rd', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d10a951735', 'name': 'Bank', 'pluralName': 'Banks', 'shortName': 'Bank', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/financial_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4ccc5a25ba0a5481f4bc3c59-5'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4bd9963f0115c9b64acb7780', 'name': "Dunkin'", 'location': {'address': '6390 Amboy Rd', 'lat': 40.522202850022914, 'lng': -74.21590964924121, 'labeledLatLngs': [{'label': 'display', 'lat': 40.522202850022914, 'lng': -74.21590964924121}], 'distance': 432, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6390 Amboy Rd', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d148941735', 'name': 'Donut Shop', 'pluralName': 'Donut Shops', 'shortName': 'Donuts', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/donuts_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4bd9963f0115c9b64acb7780-6'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4e185eb9d1648b834831475e', 'name': "Dunkin'", 'location': {'address': '2965 Veterans Rd W', 'lat': 40.52816866195241, 'lng': -74.2166461412425, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52816866195241, 'lng': -74.2166461412425}], 'distance': 470, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['2965 Veterans Rd W', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d148941735', 'name': 'Donut Shop', 'pluralName': 'Donut Shops', 'shortName': 'Donuts', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/donuts_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4e185eb9d1648b834831475e-7'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4f3e6c5600394a3349ee67d8', 'name': 'Amboy Wines and Liquors', 'location': {'address': '6390 Amboy Rd', 'crossStreet': 'Waldbaums Plaza', 'lat': 40.52200728209026, 'lng': -74.21561396058975, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52200728209026, 'lng': -74.21561396058975}], 'distance': 465, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6390 Amboy Rd (Waldbaums Plaza)', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d186941735', 'name': 'Liquor Store', 'pluralName': 'Liquor Stores', 'shortName': 'Liquor Store', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_liquor_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-4f3e6c5600394a3349ee67d8-8'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '55d69528498e8636026212f3', 'name': 'WELCOME TO NEW YORK', 'location': {'lat': 40.52582761645698, 'lng': -74.2252091639015, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52582761645698, 'lng': -74.2252091639015}], 'distance': 472, 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['Staten Island, NY', 'United States']}, 'categories': [{'id': '52f2ab2ebcbc57f1066b8b4e', 'name': 'Toll Plaza', 'pluralName': 'Toll Plazas', 'shortName': 'Toll Plaza', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/default_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-55d69528498e8636026212f3-9'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '4dc3f7a8d4c0ad9c0f61d5a3', 'name': 'Flowers by Bernard', 'location': {'address': '6390 Amboy Rd', 'lat': 40.52189700048952, 'lng': -74.21562962814777, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52189700048952, 'lng': -74.21562962814777}], 'distance': 472, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6390 Amboy Rd', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d11b951735', 'name': 'Flower Shop', 'pluralName': 'Flower Shops', 'shortName': 'Flower Shop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/flowershop_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}, 'venuePage': {'id': '39934773'}}, 'referralId': 'e-0-4dc3f7a8d4c0ad9c0f61d5a3-10'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '50acc21ae4b013e1bd00424b', 'name': 'MTA Bus - Outerbridge & Park and Ride (X17/X22/X22A)', 'location': {'address': 'W Shore Expy', 'crossStreet': 'at S Service Rd', 'lat': 40.52267477859878, 'lng': -74.22476781846, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52267477859878, 'lng': -74.22476781846}], 'distance': 474, 'postalCode': '10309', 'cc': 'US', 'neighborhood': 'Pleasant Plains', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['W Shore Expy (at S Service Rd)', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '52f2ab2ebcbc57f1066b8b4f', 'name': 'Bus Stop', 'pluralName': 'Bus Stops', 'shortName': 'Bus Stop', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/busstation_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-50acc21ae4b013e1bd00424b-11'}, {'reasons': {'count': 0, 'items': [{'summary': 'This spot is popular', 'type': 'general', 'reasonName': 'globalInteractionReason'}]}, 'venue': {'id': '509e972be4b0eaa915fa6107', 'name': "Ambrosino's", 'location': {'address': '6410 Amboy Rd', 'lat': 40.52166243322666, 'lng': -74.21548212336818, 'labeledLatLngs': [{'label': 'display', 'lat': 40.52166243322666, 'lng': -74.21548212336818}], 'distance': 499, 'postalCode': '10309', 'cc': 'US', 'city': 'Staten Island', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['6410 Amboy Rd', 'Staten Island, NY 10309', 'United States']}, 'categories': [{'id': '4bf58dd8d48988d1ca941735', 'name': 'Pizza Place', 'pluralName': 'Pizza Places', 'shortName': 'Pizza', 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_', 'suffix': '.png'}, 'primary': True}], 'photos': {'count': 0, 'groups': []}}, 'referralId': 'e-0-509e972be4b0eaa915fa6107-12'}]}]}}
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-70-69a69b0d5ed7> in <module>
      7 
      8 
----> 9 Print("Found all Venues in those neighborhoods where there are car rental businesses.")
     10 print("....................................................................")

NameError: name 'Print' is not defined
In [71]:
car_rental_venues.head()
Out[71]:
Borough Neighborhood Neighborhood Latitude Neighborhood Longitude Venue Venue Latitude Venue Longitude Venue Category
0 Bronx Kingsbridge 40.881687 -73.902818 Garden Gourmet Market 40.881350 -73.903389 Gourmet Shop
1 Bronx Kingsbridge 40.881687 -73.902818 Leche y Miel 40.883709 -73.901606 Latin American Restaurant
2 Bronx Kingsbridge 40.881687 -73.902818 Kingsbridge Social Club 40.884545 -73.901964 Pizza Place
3 Bronx Kingsbridge 40.881687 -73.902818 El Malecon 40.879338 -73.904457 Caribbean Restaurant
4 Bronx Kingsbridge 40.881687 -73.902818 Sam's Pizza 40.879435 -73.905859 Pizza Place
In [72]:
car_rental_venues_onehot = pd.get_dummies(car_rental_venues[['Venue Category']], prefix="", prefix_sep="")

# add neighborhood column back to dataframe
car_rental_venues_onehot['Neighborhood'] = car_rental_venues['Neighborhood'] 

# move neighborhood column to the first column
fixed_columns = [car_rental_venues_onehot.columns[-1]] + list(car_rental_venues_onehot.columns[:-1])
car_rental_venues_onehot = car_rental_venues_onehot[fixed_columns]

car_rental_venues_onehot.head()
Out[72]:
Neighborhood Accessories Store American Restaurant Antique Shop Arepa Restaurant Argentinian Restaurant Art Gallery Arts & Crafts Store Asian Restaurant Athletics & Sports Auto Workshop BBQ Joint Bagel Shop Bakery Bank Bar Beer Bar Beer Store Bike Rental / Bike Share Boat or Ferry Bookstore Boutique Boxing Gym Breakfast Spot Brewery Bubble Tea Shop Buffet Burger Joint Burrito Place Bus Station Bus Stop Café Cajun / Creole Restaurant Candy Store Cantonese Restaurant Caribbean Restaurant Cheese Shop Chinese Restaurant Clothing Store Cocktail Bar Coffee Shop Concert Hall Convenience Store Cosmetics Shop Coworking Space Dance Studio Deli / Bodega Department Store Dessert Shop Diner Discount Store Donut Shop Dry Cleaner Eastern European Restaurant Electronics Store Falafel Restaurant Fast Food Restaurant Field Fish & Chips Shop Fish Market Flower Shop Food & Drink Shop Food Court Food Truck French Restaurant Fried Chicken Joint Frozen Yogurt Shop Fruit & Vegetable Store Furniture / Home Store Garden Center Gas Station Gastropub General Entertainment German Restaurant Gift Shop Gourmet Shop Grocery Store Gym Gym / Fitness Center Gymnastics Gym Halal Restaurant Hardware Store Health & Beauty Service Historic Site Home Service Hookah Bar Hotel Hotel Bar Ice Cream Shop Indian Restaurant Irish Pub Italian Restaurant Japanese Restaurant Jewelry Store Juice Bar Karaoke Bar Kebab Restaurant Kids Store Lake Latin American Restaurant Laundry Service Liquor Store Lounge Market Martial Arts Dojo Mattress Store Mediterranean Restaurant Men's Store Mexican Restaurant Middle Eastern Restaurant Miscellaneous Shop Mobile Phone Shop Motorcycle Shop Moving Target Music Store Music Venue Nail Salon New American Restaurant Nightclub Optical Shop Organic Grocery Other Repair Shop Outdoor Sculpture Paper / Office Supplies Store Park Performing Arts Venue Peruvian Restaurant Pet Store Pharmacy Piano Bar Pie Shop Pizza Place Playground Plaza Polish Restaurant Pool Print Shop Pub Ramen Restaurant Record Shop Recording Studio Rental Car Location Rest Area Restaurant Rock Club Russian Restaurant Salon / Barbershop Sandwich Place Scenic Lookout School Sculpture Garden Seafood Restaurant Shipping Store Shoe Store Shop & Service Smoke Shop Spa Spanish Restaurant Sporting Goods Shop Sports Bar Sri Lankan Restaurant Steakhouse Supermarket Supplement Shop Surf Spot Sushi Restaurant Tailor Shop Tapas Restaurant Tattoo Parlor Tea Room Tennis Court Thai Restaurant Theater Thrift / Vintage Store Tiki Bar Toll Plaza Trail Train Station Turkish Restaurant Vape Store Vegetarian / Vegan Restaurant Video Game Store Video Store Vietnamese Restaurant Warehouse Store Whisky Bar Wine Bar Wine Shop Wings Joint Women's Store Yoga Studio
0 Kingsbridge 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 Kingsbridge 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 Kingsbridge 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 Kingsbridge 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 Kingsbridge 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Next, let's group rows by neighborhood and by taking the mean of the frequency of occurrence of each category.

In [74]:
car_grouped = car_rental_venues_onehot.groupby('Neighborhood').mean().reset_index()
car_grouped.head()
Out[74]:
Neighborhood Accessories Store American Restaurant Antique Shop Arepa Restaurant Argentinian Restaurant Art Gallery Arts & Crafts Store Asian Restaurant Athletics & Sports Auto Workshop BBQ Joint Bagel Shop Bakery Bank Bar Beer Bar Beer Store Bike Rental / Bike Share Boat or Ferry Bookstore Boutique Boxing Gym Breakfast Spot Brewery Bubble Tea Shop Buffet Burger Joint Burrito Place Bus Station Bus Stop Café Cajun / Creole Restaurant Candy Store Cantonese Restaurant Caribbean Restaurant Cheese Shop Chinese Restaurant Clothing Store Cocktail Bar Coffee Shop Concert Hall Convenience Store Cosmetics Shop Coworking Space Dance Studio Deli / Bodega Department Store Dessert Shop Diner Discount Store Donut Shop Dry Cleaner Eastern European Restaurant Electronics Store Falafel Restaurant Fast Food Restaurant Field Fish & Chips Shop Fish Market Flower Shop Food & Drink Shop Food Court Food Truck French Restaurant Fried Chicken Joint Frozen Yogurt Shop Fruit & Vegetable Store Furniture / Home Store Garden Center Gas Station Gastropub General Entertainment German Restaurant Gift Shop Gourmet Shop Grocery Store Gym Gym / Fitness Center Gymnastics Gym Halal Restaurant Hardware Store Health & Beauty Service Historic Site Home Service Hookah Bar Hotel Hotel Bar Ice Cream Shop Indian Restaurant Irish Pub Italian Restaurant Japanese Restaurant Jewelry Store Juice Bar Karaoke Bar Kebab Restaurant Kids Store Lake Latin American Restaurant Laundry Service Liquor Store Lounge Market Martial Arts Dojo Mattress Store Mediterranean Restaurant Men's Store Mexican Restaurant Middle Eastern Restaurant Miscellaneous Shop Mobile Phone Shop Motorcycle Shop Moving Target Music Store Music Venue Nail Salon New American Restaurant Nightclub Optical Shop Organic Grocery Other Repair Shop Outdoor Sculpture Paper / Office Supplies Store Park Performing Arts Venue Peruvian Restaurant Pet Store Pharmacy Piano Bar Pie Shop Pizza Place Playground Plaza Polish Restaurant Pool Print Shop Pub Ramen Restaurant Record Shop Recording Studio Rental Car Location Rest Area Restaurant Rock Club Russian Restaurant Salon / Barbershop Sandwich Place Scenic Lookout School Sculpture Garden Seafood Restaurant Shipping Store Shoe Store Shop & Service Smoke Shop Spa Spanish Restaurant Sporting Goods Shop Sports Bar Sri Lankan Restaurant Steakhouse Supermarket Supplement Shop Surf Spot Sushi Restaurant Tailor Shop Tapas Restaurant Tattoo Parlor Tea Room Tennis Court Thai Restaurant Theater Thrift / Vintage Store Tiki Bar Toll Plaza Trail Train Station Turkish Restaurant Vape Store Vegetarian / Vegan Restaurant Video Game Store Video Store Vietnamese Restaurant Warehouse Store Whisky Bar Wine Bar Wine Shop Wings Joint Women's Store Yoga Studio
0 Bath Beach 0.0 0.000000 0.000000 0.0 0.0 0.000000 0.000000 0.021277 0.000000 0.000000 0.0 0.000000 0.021277 0.021277 0.000000 0.0 0.0 0.021277 0.0 0.000000 0.000000 0.000000 0.0 0.0 0.042553 0.000000 0.021277 0.000000 0.0 0.0 0.000000 0.000000 0.0 0.021277 0.000000 0.00 0.063830 0.021277 0.000000 0.021277 0.000000 0.000000 0.000000 0.0 0.000000 0.021277 0.000000 0.021277 0.021277 0.00 0.042553 0.000000 0.00 0.00 0.000000 0.042553 0.0 0.0 0.00 0.000000 0.00 0.000000 0.000000 0.000000 0.0 0.0 0.0 0.000000 0.000000 0.021277 0.0 0.0 0.021277 0.000000 0.000000 0.000000 0.0 0.000000 0.0 0.000000 0.0 0.000000 0.0 0.0 0.021277 0.000000 0.000000 0.021277 0.000000 0.0 0.042553 0.000000 0.000000 0.000000 0.000000 0.021277 0.042553 0.0 0.000000 0.0 0.000000 0.000000 0.000000 0.000000 0.0 0.00 0.000000 0.000000 0.000000 0.00 0.021277 0.000000 0.0 0.000000 0.000000 0.0 0.0 0.000000 0.000000 0.0 0.0 0.0 0.0 0.021277 0.000000 0.021277 0.000000 0.085106 0.00 0.000000 0.042553 0.021277 0.00 0.0 0.0 0.0 0.000000 0.0 0.0 0.0 0.021277 0.0 0.021277 0.0 0.021277 0.0 0.000000 0.0 0.0 0.000000 0.000000 0.0 0.00 0.000000 0.00 0.000000 0.00 0.000000 0.0 0.0 0.000000 0.000000 0.0 0.021277 0.042553 0.000000 0.0 0.00 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.0 0.0 0.0 0.021277 0.0 0.000000 0.021277 0.000000 0.000000 0.0 0.0 0.0 0.000000 0.00 0.0 0.000000
1 Belmont 0.0 0.010000 0.000000 0.0 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.0 0.000000 0.050000 0.030000 0.020000 0.0 0.0 0.000000 0.0 0.000000 0.000000 0.000000 0.0 0.0 0.000000 0.000000 0.000000 0.000000 0.0 0.0 0.020000 0.000000 0.0 0.000000 0.000000 0.01 0.000000 0.000000 0.000000 0.020000 0.000000 0.010000 0.000000 0.0 0.000000 0.080000 0.010000 0.030000 0.010000 0.01 0.030000 0.000000 0.01 0.01 0.000000 0.010000 0.0 0.0 0.02 0.000000 0.02 0.000000 0.000000 0.000000 0.0 0.0 0.0 0.000000 0.000000 0.020000 0.0 0.0 0.000000 0.000000 0.010000 0.020000 0.0 0.000000 0.0 0.000000 0.0 0.000000 0.0 0.0 0.000000 0.000000 0.000000 0.010000 0.000000 0.0 0.180000 0.010000 0.000000 0.000000 0.000000 0.000000 0.000000 0.0 0.000000 0.0 0.030000 0.000000 0.010000 0.010000 0.0 0.02 0.000000 0.020000 0.000000 0.01 0.000000 0.000000 0.0 0.000000 0.000000 0.0 0.0 0.000000 0.000000 0.0 0.0 0.0 0.0 0.010000 0.000000 0.000000 0.000000 0.010000 0.01 0.000000 0.090000 0.000000 0.01 0.0 0.0 0.0 0.000000 0.0 0.0 0.0 0.010000 0.0 0.010000 0.0 0.000000 0.0 0.020000 0.0 0.0 0.000000 0.010000 0.0 0.01 0.000000 0.01 0.000000 0.02 0.000000 0.0 0.0 0.000000 0.000000 0.0 0.000000 0.000000 0.000000 0.0 0.01 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.0 0.0 0.0 0.000000 0.0 0.000000 0.000000 0.000000 0.000000 0.0 0.0 0.0 0.000000 0.01 0.0 0.000000
2 Boerum Hill 0.0 0.011364 0.011364 0.0 0.0 0.000000 0.022727 0.000000 0.011364 0.000000 0.0 0.000000 0.022727 0.011364 0.034091 0.0 0.0 0.000000 0.0 0.011364 0.011364 0.000000 0.0 0.0 0.011364 0.000000 0.011364 0.011364 0.0 0.0 0.000000 0.011364 0.0 0.000000 0.011364 0.00 0.011364 0.000000 0.022727 0.045455 0.011364 0.000000 0.022727 0.0 0.045455 0.022727 0.011364 0.000000 0.000000 0.00 0.000000 0.011364 0.00 0.00 0.000000 0.000000 0.0 0.0 0.00 0.011364 0.00 0.011364 0.000000 0.034091 0.0 0.0 0.0 0.034091 0.011364 0.000000 0.0 0.0 0.000000 0.011364 0.000000 0.022727 0.0 0.022727 0.0 0.011364 0.0 0.000000 0.0 0.0 0.000000 0.011364 0.000000 0.000000 0.011364 0.0 0.011364 0.011364 0.011364 0.011364 0.000000 0.000000 0.022727 0.0 0.000000 0.0 0.011364 0.000000 0.011364 0.022727 0.0 0.00 0.011364 0.011364 0.022727 0.00 0.000000 0.000000 0.0 0.011364 0.011364 0.0 0.0 0.000000 0.000000 0.0 0.0 0.0 0.0 0.011364 0.011364 0.000000 0.000000 0.000000 0.00 0.000000 0.000000 0.000000 0.00 0.0 0.0 0.0 0.000000 0.0 0.0 0.0 0.011364 0.0 0.000000 0.0 0.000000 0.0 0.034091 0.0 0.0 0.000000 0.011364 0.0 0.00 0.000000 0.00 0.034091 0.00 0.000000 0.0 0.0 0.000000 0.000000 0.0 0.000000 0.011364 0.000000 0.0 0.00 0.0 0.011364 0.011364 0.011364 0.011364 0.011364 0.0 0.0 0.0 0.000000 0.0 0.000000 0.000000 0.000000 0.000000 0.0 0.0 0.0 0.011364 0.00 0.0 0.022727
3 Clinton Hill 0.0 0.000000 0.000000 0.0 0.0 0.010753 0.021505 0.000000 0.000000 0.010753 0.0 0.021505 0.010753 0.010753 0.010753 0.0 0.0 0.021505 0.0 0.000000 0.010753 0.010753 0.0 0.0 0.000000 0.000000 0.010753 0.000000 0.0 0.0 0.010753 0.010753 0.0 0.000000 0.021505 0.00 0.021505 0.010753 0.021505 0.000000 0.000000 0.010753 0.000000 0.0 0.000000 0.021505 0.000000 0.010753 0.021505 0.00 0.010753 0.000000 0.00 0.00 0.010753 0.000000 0.0 0.0 0.00 0.000000 0.00 0.000000 0.000000 0.010753 0.0 0.0 0.0 0.000000 0.000000 0.000000 0.0 0.0 0.000000 0.000000 0.010753 0.010753 0.0 0.000000 0.0 0.000000 0.0 0.010753 0.0 0.0 0.000000 0.000000 0.000000 0.010753 0.032258 0.0 0.053763 0.032258 0.000000 0.010753 0.000000 0.000000 0.000000 0.0 0.010753 0.0 0.000000 0.021505 0.010753 0.000000 0.0 0.00 0.000000 0.043011 0.010753 0.00 0.000000 0.010753 0.0 0.000000 0.000000 0.0 0.0 0.000000 0.010753 0.0 0.0 0.0 0.0 0.000000 0.000000 0.000000 0.021505 0.000000 0.00 0.010753 0.053763 0.010753 0.00 0.0 0.0 0.0 0.010753 0.0 0.0 0.0 0.010753 0.0 0.032258 0.0 0.000000 0.0 0.021505 0.0 0.0 0.010753 0.000000 0.0 0.00 0.010753 0.00 0.010753 0.00 0.000000 0.0 0.0 0.000000 0.010753 0.0 0.000000 0.021505 0.010753 0.0 0.00 0.0 0.000000 0.032258 0.000000 0.000000 0.000000 0.0 0.0 0.0 0.000000 0.0 0.010753 0.000000 0.000000 0.010753 0.0 0.0 0.0 0.032258 0.00 0.0 0.032258
4 College Point 0.0 0.000000 0.000000 0.0 0.0 0.000000 0.000000 0.069767 0.000000 0.000000 0.0 0.000000 0.046512 0.023256 0.046512 0.0 0.0 0.000000 0.0 0.000000 0.000000 0.000000 0.0 0.0 0.000000 0.023256 0.000000 0.023256 0.0 0.0 0.023256 0.000000 0.0 0.000000 0.023256 0.00 0.023256 0.000000 0.000000 0.000000 0.000000 0.023256 0.000000 0.0 0.000000 0.093023 0.000000 0.023256 0.023256 0.00 0.023256 0.000000 0.00 0.00 0.000000 0.000000 0.0 0.0 0.00 0.000000 0.00 0.000000 0.023256 0.000000 0.0 0.0 0.0 0.000000 0.000000 0.000000 0.0 0.0 0.000000 0.000000 0.000000 0.000000 0.0 0.000000 0.0 0.000000 0.0 0.000000 0.0 0.0 0.000000 0.023256 0.023256 0.000000 0.000000 0.0 0.000000 0.000000 0.000000 0.000000 0.046512 0.000000 0.000000 0.0 0.046512 0.0 0.000000 0.000000 0.000000 0.000000 0.0 0.00 0.000000 0.000000 0.000000 0.00 0.000000 0.000000 0.0 0.000000 0.000000 0.0 0.0 0.023256 0.000000 0.0 0.0 0.0 0.0 0.023256 0.000000 0.000000 0.000000 0.046512 0.00 0.000000 0.093023 0.000000 0.00 0.0 0.0 0.0 0.000000 0.0 0.0 0.0 0.023256 0.0 0.000000 0.0 0.000000 0.0 0.023256 0.0 0.0 0.000000 0.023256 0.0 0.00 0.000000 0.00 0.000000 0.00 0.023256 0.0 0.0 0.023256 0.023256 0.0 0.000000 0.000000 0.000000 0.0 0.00 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.0 0.0 0.0 0.000000 0.0 0.000000 0.000000 0.023256 0.000000 0.0 0.0 0.0 0.000000 0.00 0.0 0.000000

Let's print each neighborhood along with the top 5 most common venues.

In [75]:
num_top_venues = 5

for hood in car_grouped['Neighborhood']:
    print("----"+hood+"----")
    temp = car_grouped[car_grouped['Neighborhood'] == hood].T.reset_index()
    temp.columns = ['venue','freq']
    temp = temp.iloc[1:]
    temp['freq'] = temp['freq'].astype(float)
    temp = temp.round({'freq': 2})
    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))
    print('\n')
----Bath Beach----
                venue  freq
0            Pharmacy  0.09
1  Chinese Restaurant  0.06
2         Pizza Place  0.04
3          Kids Store  0.04
4  Italian Restaurant  0.04


----Belmont----
                venue  freq
0  Italian Restaurant  0.18
1         Pizza Place  0.09
2       Deli / Bodega  0.08
3              Bakery  0.05
4                Bank  0.03


----Boerum Hill----
               venue  freq
0       Dance Studio  0.05
1        Coffee Shop  0.05
2                Bar  0.03
3                Spa  0.03
4  French Restaurant  0.03


----Clinton Hill----
                venue  freq
0  Italian Restaurant  0.05
1         Pizza Place  0.05
2  Mexican Restaurant  0.04
3   Indian Restaurant  0.03
4     Thai Restaurant  0.03


----College Point----
                       venue  freq
0                Pizza Place  0.09
1              Deli / Bodega  0.09
2           Asian Restaurant  0.07
3                        Bar  0.05
4  Latin American Restaurant  0.05


----East Elmhurst----
                 venue  freq
0           Donut Shop  0.15
1  Rental Car Location  0.08
2       Ice Cream Shop  0.08
3          Supermarket  0.08
4          Gas Station  0.08


----Gowanus----
                    venue  freq
0                     Bar  0.08
1      Italian Restaurant  0.06
2  Furniture / Home Store  0.06
3             Coffee Shop  0.05
4    Gym / Fitness Center  0.05


----Greenpoint----
          venue  freq
0           Bar  0.08
1  Cocktail Bar  0.06
2   Coffee Shop  0.06
3   Pizza Place  0.06
4   Yoga Studio  0.03


----Hamilton Heights----
                venue  freq
0                Café  0.07
1  Mexican Restaurant  0.07
2         Pizza Place  0.07
3         Coffee Shop  0.05
4       Deli / Bodega  0.05


----Kingsbridge----
                venue  freq
0         Pizza Place  0.09
1       Deli / Bodega  0.06
2      Sandwich Place  0.06
3  Mexican Restaurant  0.04
4              Bakery  0.04


----Melrose----
            venue  freq
0        Pharmacy  0.15
1     Pizza Place  0.11
2  Discount Store  0.07
3     Supermarket  0.07
4      Donut Shop  0.04


----Pelham Gardens----
                venue  freq
0          Donut Shop  0.09
1         Pizza Place  0.09
2  Spanish Restaurant  0.09
3  Chinese Restaurant  0.09
4            Pharmacy  0.09


----Pleasant Plains----
            venue  freq
0     Pizza Place  0.15
1      Donut Shop  0.15
2  Discount Store  0.08
3            Bank  0.08
4  Ice Cream Shop  0.08


----Port Richmond----
                 venue  freq
0          Pizza Place  0.29
1           Donut Shop  0.14
2                  Bar  0.14
3             Bus Stop  0.14
4  Rental Car Location  0.14


----Steinway----
                 venue  freq
0  Rental Car Location  0.13
1       Cosmetics Shop  0.09
2        Deli / Bodega  0.09
3           Donut Shop  0.04
4  Japanese Restaurant  0.04


----Tompkinsville----
                    venue  freq
0                    Café  0.08
1           Deli / Bodega  0.08
2  Thrift / Vintage Store  0.08
3           Grocery Store  0.04
4   Sri Lankan Restaurant  0.04


----Washington Heights----
               venue  freq
0               Café  0.06
1             Bakery  0.05
2      Grocery Store  0.03
3  Mobile Phone Shop  0.03
4     Sandwich Place  0.03


----Wingate----
                  venue  freq
0  Fast Food Restaurant  0.14
1                 Field  0.05
2             Juice Bar  0.05
3              Pharmacy  0.05
4                  Café  0.05


----Woodlawn----
           venue  freq
0  Deli / Bodega  0.14
1    Pizza Place  0.10
2     Playground  0.07
3            Pub  0.07
4          Plaza  0.03


The Neighborhoods Steinway and East Elmhurst are the ones which has Rental Car Business in the top 5 venues. Let's group all the neighborhoods and find the Neighborhood which is similar to Steinway and East Elmhurst.

Now let's create the new dataframe and display the top 10 venues for each neighborhood.

In [87]:
newyork_venues_onehot = pd.get_dummies(Master_df[['Venue Category']], prefix="", prefix_sep="")

# add neighborhood column back to dataframe
newyork_venues_onehot['Neighborhood'] = Master_df['Neighborhood'] 

# move neighborhood column to the first column
fixed_columns = [newyork_venues_onehot.columns[-1]] + list(newyork_venues_onehot.columns[:-1])
newyork_venues_onehot = newyork_venues_onehot[fixed_columns]

print("One hot encoding for Mastet dataframe is done..........................................................................")

new_york_grouped = newyork_venues_onehot.groupby('Neighborhood').mean().reset_index()

print("dataframe is grouped based on Neighborhood column and mean function is applied to all columns..........................")
One hot encoding for Mastet dataframe is done..........................................................................
dataframe is grouped based on Neighborhood column and mean function is applied to all columns..........................
In [88]:
def return_most_common_venues(row, num_top_venues):
    row_categories = row.iloc[1:]
    row_categories_sorted = row_categories.sort_values(ascending=False)
    
    return row_categories_sorted.index.values[0:num_top_venues]
In [89]:
indicators = ['st', 'nd', 'rd']

# create columns according to number of top venues
columns = ['Neighborhood']
for ind in np.arange(num_top_venues):
    try:
        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))
    except:
        columns.append('{}th Most Common Venue'.format(ind+1))

# create a new dataframe
neighborhoods_venues_sorted = pd.DataFrame(columns=columns)
neighborhoods_venues_sorted['Neighborhood'] = new_york_grouped['Neighborhood']

for ind in np.arange(new_york_grouped.shape[0]):
    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(new_york_grouped.iloc[ind, :], num_top_venues)

neighborhoods_venues_sorted.head()
Out[89]:
Neighborhood 1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue
0 Allerton Pizza Place Supermarket Chinese Restaurant Pharmacy Department Store
1 Annadale Pizza Place Bakery Bagel Shop Train Station Sports Bar
2 Arden Heights Pharmacy Coffee Shop Bus Stop Pizza Place Filipino Restaurant
3 Arlington Bus Stop Intersection Caribbean Restaurant Women's Store Fish Market
4 Arrochar Bus Stop Deli / Bodega Italian Restaurant Pizza Place Hotel
In [90]:
neighborhoods_venues_sorted.shape[0]
Out[90]:
300

Cluster Neighborhoods.

In [91]:
# set number of clusters
kclusters = 5

new_york_grouped_clustering = new_york_grouped.drop('Neighborhood', 1)

# run k-means clustering
kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(new_york_grouped_clustering)

# check cluster labels generated for each row in the dataframe
kmeans.labels_[0:10] 
Out[91]:
array([0, 0, 0, 4, 2, 0, 0, 0, 0, 0])
In [92]:
# add clustering labels
neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)

newyork_merged = Master_df

# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood
newyork_merged = newyork_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')

newyork_merged.head() # check the last columns!
Out[92]:
Borough Neighborhood Neighborhood Latitude Neighborhood Longitude Venue Venue Latitude Venue Longitude Venue Category Cluster Labels 1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue
0 Bronx Wakefield 40.894705 -73.847201 Lollipops Gelato 40.894123 -73.845892 Dessert Shop 4 Gas Station Dessert Shop Sandwich Place Caribbean Restaurant Ice Cream Shop
1 Bronx Wakefield 40.894705 -73.847201 Rite Aid 40.896649 -73.844846 Pharmacy 4 Gas Station Dessert Shop Sandwich Place Caribbean Restaurant Ice Cream Shop
2 Bronx Wakefield 40.894705 -73.847201 Carvel Ice Cream 40.890487 -73.848568 Ice Cream Shop 4 Gas Station Dessert Shop Sandwich Place Caribbean Restaurant Ice Cream Shop
3 Bronx Wakefield 40.894705 -73.847201 Cooler Runnings Jamaican Restaurant Inc 40.898276 -73.850381 Caribbean Restaurant 4 Gas Station Dessert Shop Sandwich Place Caribbean Restaurant Ice Cream Shop
4 Bronx Wakefield 40.894705 -73.847201 Shell 40.894187 -73.845862 Gas Station 4 Gas Station Dessert Shop Sandwich Place Caribbean Restaurant Ice Cream Shop

Let's Visualize the clusters.

Let's find out which cluster Steinway and East Elmhurst belong to.

In [99]:
Steinway_label = newyork_merged[newyork_merged['Neighborhood'] == 'Steinway']['Cluster Labels'].iloc[0]
East_Elmhurst_label = newyork_merged[newyork_merged['Neighborhood'] == 'East Elmhurst']['Cluster Labels'].iloc[0]

print('The Neighbourhood {} belong to cluster {}'.format("Steinway",Steinway_label))
print('The Neighbourhood {} belong to cluster {}'.format("East Elmhurst",East_Elmhurst_label))
The Neighbourhood Steinway belong to cluster 0
The Neighbourhood East Elmhurst belong to cluster 0

Let's take a look at those Neighborhoods which fall into Cluster 0.

In [104]:
cluster_zero = newyork_merged[newyork_merged['Cluster Labels'] == 0]
In [133]:
cluster_table = pd.pivot_table(cluster_zero, index = ['Neighborhood'])
cluster_table.head()
Out[133]:
Cluster Labels Neighborhood Latitude Neighborhood Longitude Venue Latitude Venue Longitude
Neighborhood
Allerton 0 40.865788 -73.859319 40.865057 -73.859414
Annadale 0 40.538114 -74.178549 40.541011 -74.177195
Arden Heights 0 40.549286 -74.185887 40.551278 -74.185412
Arverne 0 40.589144 -73.791992 40.590142 -73.795322
Astoria 0 40.768509 -73.915654 40.766627 -73.916589
In [137]:
cluster_table['Neighborhood'] = cluster_table.index
In [140]:
cluster_table.columns
Out[140]:
Index(['Cluster Labels', 'Neighborhood Latitude', 'Neighborhood Longitude',
       'Venue Latitude', 'Venue Longitude', 'Neighborhood'],
      dtype='object')
In [146]:
# create map

map_clusters = folium.Map(location=[40.7127281, -74.0060152], zoom_start=15)


# add markers to the map
for index,row in cluster_table.iterrows():
    label = folium.Popup(row['Neighborhood'] + ' Cluster ' + str(cluster), parse_html=True)
    folium.CircleMarker(
        [row["Neighborhood Latitude"], row["Neighborhood Longitude"]],
        radius=2,
        popup=label,
        fill_opacity=0.7).add_to(map_clusters)
    
       
       


    
newyorkArr = cluster_table[['Neighborhood Latitude', 'Neighborhood Longitude']].as_matrix()

# plot heatmap
map_clusters.add_children(plugins.HeatMap(newyorkArr, radius=15))
    
map_clusters
C:\Users\Welcome\Anaconda3\lib\site-packages\ipykernel_launcher.py:20: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
C:\Users\Welcome\Anaconda3\lib\site-packages\ipykernel_launcher.py:23: FutureWarning: Method `add_children` is deprecated. Please use `add_child` instead.
Out[146]:

Conclusion: The Neighborhoods that are suggested are as shown in the above heat map. The Businesses can be started in any of the above locations.

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